Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- added_tokens.json +24 -0
- config.json +32 -0
- generation_config.json +8 -0
- merges.txt +0 -0
- model-00001-of-00002.safetensors +3 -0
- model-00002-of-00002.safetensors +3 -0
- model.safetensors.index.json +405 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +16 -0
- tokenizer.json +3 -0
- tokenizer_config.json +189 -0
- trainer_state.json +2218 -0
- training_args.bin +3 -0
- vocab.json +0 -0
.gitattributes
CHANGED
|
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
| 33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 36 |
+
tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
added_tokens.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"</tool_call>": 151658,
|
| 3 |
+
"<tool_call>": 151657,
|
| 4 |
+
"<|box_end|>": 151649,
|
| 5 |
+
"<|box_start|>": 151648,
|
| 6 |
+
"<|endoftext|>": 151643,
|
| 7 |
+
"<|file_sep|>": 151664,
|
| 8 |
+
"<|fim_middle|>": 151660,
|
| 9 |
+
"<|fim_pad|>": 151662,
|
| 10 |
+
"<|fim_prefix|>": 151659,
|
| 11 |
+
"<|fim_suffix|>": 151661,
|
| 12 |
+
"<|im_end|>": 151645,
|
| 13 |
+
"<|im_start|>": 151644,
|
| 14 |
+
"<|image_pad|>": 151655,
|
| 15 |
+
"<|object_ref_end|>": 151647,
|
| 16 |
+
"<|object_ref_start|>": 151646,
|
| 17 |
+
"<|quad_end|>": 151651,
|
| 18 |
+
"<|quad_start|>": 151650,
|
| 19 |
+
"<|repo_name|>": 151663,
|
| 20 |
+
"<|video_pad|>": 151656,
|
| 21 |
+
"<|vision_end|>": 151653,
|
| 22 |
+
"<|vision_pad|>": 151654,
|
| 23 |
+
"<|vision_start|>": 151652
|
| 24 |
+
}
|
config.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen3ForCausalLM"
|
| 4 |
+
],
|
| 5 |
+
"attention_bias": false,
|
| 6 |
+
"attention_dropout": 0.0,
|
| 7 |
+
"eos_token_id": 151645,
|
| 8 |
+
"head_dim": 128,
|
| 9 |
+
"hidden_act": "silu",
|
| 10 |
+
"hidden_size": 2560,
|
| 11 |
+
"initializer_range": 0.02,
|
| 12 |
+
"intermediate_size": 9728,
|
| 13 |
+
"max_position_embeddings": 32768,
|
| 14 |
+
"max_window_layers": 36,
|
| 15 |
+
"model_type": "qwen3",
|
| 16 |
+
"num_attention_heads": 32,
|
| 17 |
+
"num_hidden_layers": 36,
|
| 18 |
+
"num_key_value_heads": 8,
|
| 19 |
+
"pad_token_id": 151654,
|
| 20 |
+
"rms_norm_eps": 1e-06,
|
| 21 |
+
"rope_scaling": null,
|
| 22 |
+
"rope_theta": 1000000,
|
| 23 |
+
"sliding_window": null,
|
| 24 |
+
"tie_word_embeddings": true,
|
| 25 |
+
"torch_dtype": "bfloat16",
|
| 26 |
+
"transformers_version": "4.51.3",
|
| 27 |
+
"unsloth_fixed": true,
|
| 28 |
+
"unsloth_version": "2025.4.4",
|
| 29 |
+
"use_cache": true,
|
| 30 |
+
"use_sliding_window": false,
|
| 31 |
+
"vocab_size": 151936
|
| 32 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token_id": 151643,
|
| 3 |
+
"eos_token_id": 151645,
|
| 4 |
+
"max_length": 32768,
|
| 5 |
+
"max_new_tokens": 2048,
|
| 6 |
+
"pad_token_id": 151654,
|
| 7 |
+
"transformers_version": "4.51.3"
|
| 8 |
+
}
|
merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
model-00001-of-00002.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5ddf0742586b99bf90c8652959c07ee0f8696346d18d69391b1f7532cf5f846f
|
| 3 |
+
size 4967215360
|
model-00002-of-00002.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:96ff0b559ba89c449e5e40340f600212c706643a1b9329f4267ba5329320b666
|
| 3 |
+
size 3077766632
|
model.safetensors.index.json
ADDED
|
@@ -0,0 +1,405 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"metadata": {
|
| 3 |
+
"total_size": 8044936192
|
| 4 |
+
},
|
| 5 |
+
"weight_map": {
|
| 6 |
+
"model.embed_tokens.weight": "model-00001-of-00002.safetensors",
|
| 7 |
+
"model.layers.0.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 8 |
+
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 9 |
+
"model.layers.0.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 10 |
+
"model.layers.0.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 11 |
+
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 12 |
+
"model.layers.0.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
|
| 13 |
+
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 14 |
+
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 15 |
+
"model.layers.0.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
|
| 16 |
+
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 17 |
+
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 18 |
+
"model.layers.1.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 19 |
+
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 20 |
+
"model.layers.1.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 21 |
+
"model.layers.1.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 22 |
+
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 23 |
+
"model.layers.1.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
|
| 24 |
+
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 25 |
+
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 26 |
+
"model.layers.1.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
|
| 27 |
+
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 28 |
+
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 29 |
+
"model.layers.10.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 30 |
+
"model.layers.10.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 31 |
+
"model.layers.10.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 32 |
+
"model.layers.10.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 33 |
+
"model.layers.10.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 34 |
+
"model.layers.10.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
|
| 35 |
+
"model.layers.10.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 36 |
+
"model.layers.10.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 37 |
+
"model.layers.10.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
|
| 38 |
+
"model.layers.10.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 39 |
+
"model.layers.10.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 40 |
+
"model.layers.11.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 41 |
+
"model.layers.11.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 42 |
+
"model.layers.11.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 43 |
+
"model.layers.11.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 44 |
+
"model.layers.11.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 45 |
+
"model.layers.11.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
|
| 46 |
+
"model.layers.11.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 47 |
+
"model.layers.11.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 48 |
+
"model.layers.11.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
|
| 49 |
+
"model.layers.11.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 50 |
+
"model.layers.11.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 51 |
+
"model.layers.12.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 52 |
+
"model.layers.12.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 53 |
+
"model.layers.12.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 54 |
+
"model.layers.12.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 55 |
+
"model.layers.12.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 56 |
+
"model.layers.12.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
|
| 57 |
+
"model.layers.12.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 58 |
+
"model.layers.12.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 59 |
+
"model.layers.12.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
|
| 60 |
+
"model.layers.12.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 61 |
+
"model.layers.12.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 62 |
+
"model.layers.13.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 63 |
+
"model.layers.13.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 64 |
+
"model.layers.13.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 65 |
+
"model.layers.13.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 66 |
+
"model.layers.13.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 67 |
+
"model.layers.13.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
|
| 68 |
+
"model.layers.13.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 69 |
+
"model.layers.13.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 70 |
+
"model.layers.13.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
|
| 71 |
+
"model.layers.13.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 72 |
+
"model.layers.13.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 73 |
+
"model.layers.14.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 74 |
+
"model.layers.14.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 75 |
+
"model.layers.14.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 76 |
+
"model.layers.14.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 77 |
+
"model.layers.14.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 78 |
+
"model.layers.14.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
|
| 79 |
+
"model.layers.14.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 80 |
+
"model.layers.14.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 81 |
+
"model.layers.14.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
|
| 82 |
+
"model.layers.14.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 83 |
+
"model.layers.14.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 84 |
+
"model.layers.15.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 85 |
+
"model.layers.15.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 86 |
+
"model.layers.15.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 87 |
+
"model.layers.15.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 88 |
+
"model.layers.15.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 89 |
+
"model.layers.15.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
|
| 90 |
+
"model.layers.15.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 91 |
+
"model.layers.15.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 92 |
+
"model.layers.15.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
|
| 93 |
+
"model.layers.15.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 94 |
+
"model.layers.15.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 95 |
+
"model.layers.16.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 96 |
+
"model.layers.16.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 97 |
+
"model.layers.16.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 98 |
+
"model.layers.16.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 99 |
+
"model.layers.16.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 100 |
+
"model.layers.16.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
|
| 101 |
+
"model.layers.16.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 102 |
+
"model.layers.16.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 103 |
+
"model.layers.16.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
|
| 104 |
+
"model.layers.16.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 105 |
+
"model.layers.16.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 106 |
+
"model.layers.17.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 107 |
+
"model.layers.17.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 108 |
+
"model.layers.17.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 109 |
+
"model.layers.17.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 110 |
+
"model.layers.17.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 111 |
+
"model.layers.17.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
|
| 112 |
+
"model.layers.17.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 113 |
+
"model.layers.17.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 114 |
+
"model.layers.17.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
|
| 115 |
+
"model.layers.17.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 116 |
+
"model.layers.17.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 117 |
+
"model.layers.18.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 118 |
+
"model.layers.18.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 119 |
+
"model.layers.18.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 120 |
+
"model.layers.18.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 121 |
+
"model.layers.18.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 122 |
+
"model.layers.18.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
|
| 123 |
+
"model.layers.18.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 124 |
+
"model.layers.18.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 125 |
+
"model.layers.18.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
|
| 126 |
+
"model.layers.18.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 127 |
+
"model.layers.18.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 128 |
+
"model.layers.19.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 129 |
+
"model.layers.19.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 130 |
+
"model.layers.19.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 131 |
+
"model.layers.19.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 132 |
+
"model.layers.19.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 133 |
+
"model.layers.19.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
|
| 134 |
+
"model.layers.19.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 135 |
+
"model.layers.19.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 136 |
+
"model.layers.19.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
|
| 137 |
+
"model.layers.19.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 138 |
+
"model.layers.19.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 139 |
+
"model.layers.2.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 140 |
+
"model.layers.2.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 141 |
+
"model.layers.2.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 142 |
+
"model.layers.2.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 143 |
+
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 144 |
+
"model.layers.2.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
|
| 145 |
+
"model.layers.2.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 146 |
+
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 147 |
+
"model.layers.2.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
|
| 148 |
+
"model.layers.2.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 149 |
+
"model.layers.2.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 150 |
+
"model.layers.20.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 151 |
+
"model.layers.20.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
| 152 |
+
"model.layers.20.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 153 |
+
"model.layers.20.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 154 |
+
"model.layers.20.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 155 |
+
"model.layers.20.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
|
| 156 |
+
"model.layers.20.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 157 |
+
"model.layers.20.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 158 |
+
"model.layers.20.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
|
| 159 |
+
"model.layers.20.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 160 |
+
"model.layers.20.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 161 |
+
"model.layers.21.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 162 |
+
"model.layers.21.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
| 163 |
+
"model.layers.21.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
| 164 |
+
"model.layers.21.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
| 165 |
+
"model.layers.21.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 166 |
+
"model.layers.21.self_attn.k_norm.weight": "model-00002-of-00002.safetensors",
|
| 167 |
+
"model.layers.21.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
|
| 168 |
+
"model.layers.21.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
| 169 |
+
"model.layers.21.self_attn.q_norm.weight": "model-00002-of-00002.safetensors",
|
| 170 |
+
"model.layers.21.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
|
| 171 |
+
"model.layers.21.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
|
| 172 |
+
"model.layers.22.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 173 |
+
"model.layers.22.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
| 174 |
+
"model.layers.22.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
| 175 |
+
"model.layers.22.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
| 176 |
+
"model.layers.22.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 177 |
+
"model.layers.22.self_attn.k_norm.weight": "model-00002-of-00002.safetensors",
|
| 178 |
+
"model.layers.22.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
|
| 179 |
+
"model.layers.22.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
| 180 |
+
"model.layers.22.self_attn.q_norm.weight": "model-00002-of-00002.safetensors",
|
| 181 |
+
"model.layers.22.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
|
| 182 |
+
"model.layers.22.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
|
| 183 |
+
"model.layers.23.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 184 |
+
"model.layers.23.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
| 185 |
+
"model.layers.23.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
| 186 |
+
"model.layers.23.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
| 187 |
+
"model.layers.23.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 188 |
+
"model.layers.23.self_attn.k_norm.weight": "model-00002-of-00002.safetensors",
|
| 189 |
+
"model.layers.23.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
|
| 190 |
+
"model.layers.23.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
| 191 |
+
"model.layers.23.self_attn.q_norm.weight": "model-00002-of-00002.safetensors",
|
| 192 |
+
"model.layers.23.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
|
| 193 |
+
"model.layers.23.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
|
| 194 |
+
"model.layers.24.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 195 |
+
"model.layers.24.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
| 196 |
+
"model.layers.24.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
| 197 |
+
"model.layers.24.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
| 198 |
+
"model.layers.24.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 199 |
+
"model.layers.24.self_attn.k_norm.weight": "model-00002-of-00002.safetensors",
|
| 200 |
+
"model.layers.24.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
|
| 201 |
+
"model.layers.24.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
| 202 |
+
"model.layers.24.self_attn.q_norm.weight": "model-00002-of-00002.safetensors",
|
| 203 |
+
"model.layers.24.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
|
| 204 |
+
"model.layers.24.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
|
| 205 |
+
"model.layers.25.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 206 |
+
"model.layers.25.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
| 207 |
+
"model.layers.25.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
| 208 |
+
"model.layers.25.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
| 209 |
+
"model.layers.25.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 210 |
+
"model.layers.25.self_attn.k_norm.weight": "model-00002-of-00002.safetensors",
|
| 211 |
+
"model.layers.25.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
|
| 212 |
+
"model.layers.25.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
| 213 |
+
"model.layers.25.self_attn.q_norm.weight": "model-00002-of-00002.safetensors",
|
| 214 |
+
"model.layers.25.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
|
| 215 |
+
"model.layers.25.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
|
| 216 |
+
"model.layers.26.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 217 |
+
"model.layers.26.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
| 218 |
+
"model.layers.26.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
| 219 |
+
"model.layers.26.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
| 220 |
+
"model.layers.26.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 221 |
+
"model.layers.26.self_attn.k_norm.weight": "model-00002-of-00002.safetensors",
|
| 222 |
+
"model.layers.26.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
|
| 223 |
+
"model.layers.26.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
| 224 |
+
"model.layers.26.self_attn.q_norm.weight": "model-00002-of-00002.safetensors",
|
| 225 |
+
"model.layers.26.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
|
| 226 |
+
"model.layers.26.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
|
| 227 |
+
"model.layers.27.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 228 |
+
"model.layers.27.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
| 229 |
+
"model.layers.27.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
| 230 |
+
"model.layers.27.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
| 231 |
+
"model.layers.27.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 232 |
+
"model.layers.27.self_attn.k_norm.weight": "model-00002-of-00002.safetensors",
|
| 233 |
+
"model.layers.27.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
|
| 234 |
+
"model.layers.27.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
| 235 |
+
"model.layers.27.self_attn.q_norm.weight": "model-00002-of-00002.safetensors",
|
| 236 |
+
"model.layers.27.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
|
| 237 |
+
"model.layers.27.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
|
| 238 |
+
"model.layers.28.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 239 |
+
"model.layers.28.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
| 240 |
+
"model.layers.28.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
| 241 |
+
"model.layers.28.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
| 242 |
+
"model.layers.28.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 243 |
+
"model.layers.28.self_attn.k_norm.weight": "model-00002-of-00002.safetensors",
|
| 244 |
+
"model.layers.28.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
|
| 245 |
+
"model.layers.28.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
| 246 |
+
"model.layers.28.self_attn.q_norm.weight": "model-00002-of-00002.safetensors",
|
| 247 |
+
"model.layers.28.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
|
| 248 |
+
"model.layers.28.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
|
| 249 |
+
"model.layers.29.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 250 |
+
"model.layers.29.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
| 251 |
+
"model.layers.29.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
| 252 |
+
"model.layers.29.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
| 253 |
+
"model.layers.29.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 254 |
+
"model.layers.29.self_attn.k_norm.weight": "model-00002-of-00002.safetensors",
|
| 255 |
+
"model.layers.29.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
|
| 256 |
+
"model.layers.29.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
| 257 |
+
"model.layers.29.self_attn.q_norm.weight": "model-00002-of-00002.safetensors",
|
| 258 |
+
"model.layers.29.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
|
| 259 |
+
"model.layers.29.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
|
| 260 |
+
"model.layers.3.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 261 |
+
"model.layers.3.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 262 |
+
"model.layers.3.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 263 |
+
"model.layers.3.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 264 |
+
"model.layers.3.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 265 |
+
"model.layers.3.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
|
| 266 |
+
"model.layers.3.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 267 |
+
"model.layers.3.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 268 |
+
"model.layers.3.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
|
| 269 |
+
"model.layers.3.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 270 |
+
"model.layers.3.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 271 |
+
"model.layers.30.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 272 |
+
"model.layers.30.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
| 273 |
+
"model.layers.30.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
| 274 |
+
"model.layers.30.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
| 275 |
+
"model.layers.30.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 276 |
+
"model.layers.30.self_attn.k_norm.weight": "model-00002-of-00002.safetensors",
|
| 277 |
+
"model.layers.30.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
|
| 278 |
+
"model.layers.30.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
| 279 |
+
"model.layers.30.self_attn.q_norm.weight": "model-00002-of-00002.safetensors",
|
| 280 |
+
"model.layers.30.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
|
| 281 |
+
"model.layers.30.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
|
| 282 |
+
"model.layers.31.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 283 |
+
"model.layers.31.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
| 284 |
+
"model.layers.31.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
| 285 |
+
"model.layers.31.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
| 286 |
+
"model.layers.31.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 287 |
+
"model.layers.31.self_attn.k_norm.weight": "model-00002-of-00002.safetensors",
|
| 288 |
+
"model.layers.31.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
|
| 289 |
+
"model.layers.31.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
| 290 |
+
"model.layers.31.self_attn.q_norm.weight": "model-00002-of-00002.safetensors",
|
| 291 |
+
"model.layers.31.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
|
| 292 |
+
"model.layers.31.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
|
| 293 |
+
"model.layers.32.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 294 |
+
"model.layers.32.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
| 295 |
+
"model.layers.32.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
| 296 |
+
"model.layers.32.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
| 297 |
+
"model.layers.32.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 298 |
+
"model.layers.32.self_attn.k_norm.weight": "model-00002-of-00002.safetensors",
|
| 299 |
+
"model.layers.32.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
|
| 300 |
+
"model.layers.32.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
| 301 |
+
"model.layers.32.self_attn.q_norm.weight": "model-00002-of-00002.safetensors",
|
| 302 |
+
"model.layers.32.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
|
| 303 |
+
"model.layers.32.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
|
| 304 |
+
"model.layers.33.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 305 |
+
"model.layers.33.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
| 306 |
+
"model.layers.33.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
| 307 |
+
"model.layers.33.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
| 308 |
+
"model.layers.33.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 309 |
+
"model.layers.33.self_attn.k_norm.weight": "model-00002-of-00002.safetensors",
|
| 310 |
+
"model.layers.33.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
|
| 311 |
+
"model.layers.33.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
| 312 |
+
"model.layers.33.self_attn.q_norm.weight": "model-00002-of-00002.safetensors",
|
| 313 |
+
"model.layers.33.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
|
| 314 |
+
"model.layers.33.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
|
| 315 |
+
"model.layers.34.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 316 |
+
"model.layers.34.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
| 317 |
+
"model.layers.34.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
| 318 |
+
"model.layers.34.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
| 319 |
+
"model.layers.34.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 320 |
+
"model.layers.34.self_attn.k_norm.weight": "model-00002-of-00002.safetensors",
|
| 321 |
+
"model.layers.34.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
|
| 322 |
+
"model.layers.34.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
| 323 |
+
"model.layers.34.self_attn.q_norm.weight": "model-00002-of-00002.safetensors",
|
| 324 |
+
"model.layers.34.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
|
| 325 |
+
"model.layers.34.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
|
| 326 |
+
"model.layers.35.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 327 |
+
"model.layers.35.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
| 328 |
+
"model.layers.35.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
| 329 |
+
"model.layers.35.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
| 330 |
+
"model.layers.35.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 331 |
+
"model.layers.35.self_attn.k_norm.weight": "model-00002-of-00002.safetensors",
|
| 332 |
+
"model.layers.35.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
|
| 333 |
+
"model.layers.35.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
| 334 |
+
"model.layers.35.self_attn.q_norm.weight": "model-00002-of-00002.safetensors",
|
| 335 |
+
"model.layers.35.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
|
| 336 |
+
"model.layers.35.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
|
| 337 |
+
"model.layers.4.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 338 |
+
"model.layers.4.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 339 |
+
"model.layers.4.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 340 |
+
"model.layers.4.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 341 |
+
"model.layers.4.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 342 |
+
"model.layers.4.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
|
| 343 |
+
"model.layers.4.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 344 |
+
"model.layers.4.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 345 |
+
"model.layers.4.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
|
| 346 |
+
"model.layers.4.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 347 |
+
"model.layers.4.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 348 |
+
"model.layers.5.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 349 |
+
"model.layers.5.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 350 |
+
"model.layers.5.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 351 |
+
"model.layers.5.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 352 |
+
"model.layers.5.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 353 |
+
"model.layers.5.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
|
| 354 |
+
"model.layers.5.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 355 |
+
"model.layers.5.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 356 |
+
"model.layers.5.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
|
| 357 |
+
"model.layers.5.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 358 |
+
"model.layers.5.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 359 |
+
"model.layers.6.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 360 |
+
"model.layers.6.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 361 |
+
"model.layers.6.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 362 |
+
"model.layers.6.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 363 |
+
"model.layers.6.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 364 |
+
"model.layers.6.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
|
| 365 |
+
"model.layers.6.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 366 |
+
"model.layers.6.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 367 |
+
"model.layers.6.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
|
| 368 |
+
"model.layers.6.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 369 |
+
"model.layers.6.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 370 |
+
"model.layers.7.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 371 |
+
"model.layers.7.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 372 |
+
"model.layers.7.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 373 |
+
"model.layers.7.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 374 |
+
"model.layers.7.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 375 |
+
"model.layers.7.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
|
| 376 |
+
"model.layers.7.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 377 |
+
"model.layers.7.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 378 |
+
"model.layers.7.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
|
| 379 |
+
"model.layers.7.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 380 |
+
"model.layers.7.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 381 |
+
"model.layers.8.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 382 |
+
"model.layers.8.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 383 |
+
"model.layers.8.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 384 |
+
"model.layers.8.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 385 |
+
"model.layers.8.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 386 |
+
"model.layers.8.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
|
| 387 |
+
"model.layers.8.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 388 |
+
"model.layers.8.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 389 |
+
"model.layers.8.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
|
| 390 |
+
"model.layers.8.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 391 |
+
"model.layers.8.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 392 |
+
"model.layers.9.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 393 |
+
"model.layers.9.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 394 |
+
"model.layers.9.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 395 |
+
"model.layers.9.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 396 |
+
"model.layers.9.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 397 |
+
"model.layers.9.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
|
| 398 |
+
"model.layers.9.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 399 |
+
"model.layers.9.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 400 |
+
"model.layers.9.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
|
| 401 |
+
"model.layers.9.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 402 |
+
"model.layers.9.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 403 |
+
"model.norm.weight": "model-00002-of-00002.safetensors"
|
| 404 |
+
}
|
| 405 |
+
}
|
rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7c800b778fa7e115e4c34de8529902de8b61c9a1b4bab3eb8295d06dafff030e
|
| 3 |
+
size 14645
|
scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b92649eec197d2aba10aaedf8d2fd3bd1a27a232f2e1e418c29e7530005e7bf4
|
| 3 |
+
size 1465
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,16 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"eos_token": {
|
| 3 |
+
"content": "<|im_end|>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"pad_token": {
|
| 10 |
+
"content": "<|vision_pad|>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
}
|
| 16 |
+
}
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
|
| 3 |
+
size 11421896
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,189 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"added_tokens_decoder": {
|
| 3 |
+
"151643": {
|
| 4 |
+
"content": "<|endoftext|>",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": false,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false,
|
| 9 |
+
"special": true
|
| 10 |
+
},
|
| 11 |
+
"151644": {
|
| 12 |
+
"content": "<|im_start|>",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false,
|
| 17 |
+
"special": true
|
| 18 |
+
},
|
| 19 |
+
"151645": {
|
| 20 |
+
"content": "<|im_end|>",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": false,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false,
|
| 25 |
+
"special": true
|
| 26 |
+
},
|
| 27 |
+
"151646": {
|
| 28 |
+
"content": "<|object_ref_start|>",
|
| 29 |
+
"lstrip": false,
|
| 30 |
+
"normalized": false,
|
| 31 |
+
"rstrip": false,
|
| 32 |
+
"single_word": false,
|
| 33 |
+
"special": true
|
| 34 |
+
},
|
| 35 |
+
"151647": {
|
| 36 |
+
"content": "<|object_ref_end|>",
|
| 37 |
+
"lstrip": false,
|
| 38 |
+
"normalized": false,
|
| 39 |
+
"rstrip": false,
|
| 40 |
+
"single_word": false,
|
| 41 |
+
"special": true
|
| 42 |
+
},
|
| 43 |
+
"151648": {
|
| 44 |
+
"content": "<|box_start|>",
|
| 45 |
+
"lstrip": false,
|
| 46 |
+
"normalized": false,
|
| 47 |
+
"rstrip": false,
|
| 48 |
+
"single_word": false,
|
| 49 |
+
"special": true
|
| 50 |
+
},
|
| 51 |
+
"151649": {
|
| 52 |
+
"content": "<|box_end|>",
|
| 53 |
+
"lstrip": false,
|
| 54 |
+
"normalized": false,
|
| 55 |
+
"rstrip": false,
|
| 56 |
+
"single_word": false,
|
| 57 |
+
"special": true
|
| 58 |
+
},
|
| 59 |
+
"151650": {
|
| 60 |
+
"content": "<|quad_start|>",
|
| 61 |
+
"lstrip": false,
|
| 62 |
+
"normalized": false,
|
| 63 |
+
"rstrip": false,
|
| 64 |
+
"single_word": false,
|
| 65 |
+
"special": true
|
| 66 |
+
},
|
| 67 |
+
"151651": {
|
| 68 |
+
"content": "<|quad_end|>",
|
| 69 |
+
"lstrip": false,
|
| 70 |
+
"normalized": false,
|
| 71 |
+
"rstrip": false,
|
| 72 |
+
"single_word": false,
|
| 73 |
+
"special": true
|
| 74 |
+
},
|
| 75 |
+
"151652": {
|
| 76 |
+
"content": "<|vision_start|>",
|
| 77 |
+
"lstrip": false,
|
| 78 |
+
"normalized": false,
|
| 79 |
+
"rstrip": false,
|
| 80 |
+
"single_word": false,
|
| 81 |
+
"special": true
|
| 82 |
+
},
|
| 83 |
+
"151653": {
|
| 84 |
+
"content": "<|vision_end|>",
|
| 85 |
+
"lstrip": false,
|
| 86 |
+
"normalized": false,
|
| 87 |
+
"rstrip": false,
|
| 88 |
+
"single_word": false,
|
| 89 |
+
"special": true
|
| 90 |
+
},
|
| 91 |
+
"151654": {
|
| 92 |
+
"content": "<|vision_pad|>",
|
| 93 |
+
"lstrip": false,
|
| 94 |
+
"normalized": false,
|
| 95 |
+
"rstrip": false,
|
| 96 |
+
"single_word": false,
|
| 97 |
+
"special": true
|
| 98 |
+
},
|
| 99 |
+
"151655": {
|
| 100 |
+
"content": "<|image_pad|>",
|
| 101 |
+
"lstrip": false,
|
| 102 |
+
"normalized": false,
|
| 103 |
+
"rstrip": false,
|
| 104 |
+
"single_word": false,
|
| 105 |
+
"special": true
|
| 106 |
+
},
|
| 107 |
+
"151656": {
|
| 108 |
+
"content": "<|video_pad|>",
|
| 109 |
+
"lstrip": false,
|
| 110 |
+
"normalized": false,
|
| 111 |
+
"rstrip": false,
|
| 112 |
+
"single_word": false,
|
| 113 |
+
"special": true
|
| 114 |
+
},
|
| 115 |
+
"151657": {
|
| 116 |
+
"content": "<tool_call>",
|
| 117 |
+
"lstrip": false,
|
| 118 |
+
"normalized": false,
|
| 119 |
+
"rstrip": false,
|
| 120 |
+
"single_word": false,
|
| 121 |
+
"special": false
|
| 122 |
+
},
|
| 123 |
+
"151658": {
|
| 124 |
+
"content": "</tool_call>",
|
| 125 |
+
"lstrip": false,
|
| 126 |
+
"normalized": false,
|
| 127 |
+
"rstrip": false,
|
| 128 |
+
"single_word": false,
|
| 129 |
+
"special": false
|
| 130 |
+
},
|
| 131 |
+
"151659": {
|
| 132 |
+
"content": "<|fim_prefix|>",
|
| 133 |
+
"lstrip": false,
|
| 134 |
+
"normalized": false,
|
| 135 |
+
"rstrip": false,
|
| 136 |
+
"single_word": false,
|
| 137 |
+
"special": false
|
| 138 |
+
},
|
| 139 |
+
"151660": {
|
| 140 |
+
"content": "<|fim_middle|>",
|
| 141 |
+
"lstrip": false,
|
| 142 |
+
"normalized": false,
|
| 143 |
+
"rstrip": false,
|
| 144 |
+
"single_word": false,
|
| 145 |
+
"special": false
|
| 146 |
+
},
|
| 147 |
+
"151661": {
|
| 148 |
+
"content": "<|fim_suffix|>",
|
| 149 |
+
"lstrip": false,
|
| 150 |
+
"normalized": false,
|
| 151 |
+
"rstrip": false,
|
| 152 |
+
"single_word": false,
|
| 153 |
+
"special": false
|
| 154 |
+
},
|
| 155 |
+
"151662": {
|
| 156 |
+
"content": "<|fim_pad|>",
|
| 157 |
+
"lstrip": false,
|
| 158 |
+
"normalized": false,
|
| 159 |
+
"rstrip": false,
|
| 160 |
+
"single_word": false,
|
| 161 |
+
"special": false
|
| 162 |
+
},
|
| 163 |
+
"151663": {
|
| 164 |
+
"content": "<|repo_name|>",
|
| 165 |
+
"lstrip": false,
|
| 166 |
+
"normalized": false,
|
| 167 |
+
"rstrip": false,
|
| 168 |
+
"single_word": false,
|
| 169 |
+
"special": false
|
| 170 |
+
},
|
| 171 |
+
"151664": {
|
| 172 |
+
"content": "<|file_sep|>",
|
| 173 |
+
"lstrip": false,
|
| 174 |
+
"normalized": false,
|
| 175 |
+
"rstrip": false,
|
| 176 |
+
"single_word": false,
|
| 177 |
+
"special": false
|
| 178 |
+
}
|
| 179 |
+
},
|
| 180 |
+
"bos_token": null,
|
| 181 |
+
"chat_template": "{% if 'role' in messages[0] %}{% for message in messages %}{% if message['role'] == 'user' %}{{'<|im_start|>user\n' + message['content'] + '<|im_end|>\n'}}{% elif message['role'] == 'assistant' %}{{'<|im_start|>assistant\n' + message['content'] + '<|im_end|>\n' }}{% else %}{{ '<|im_start|>system\n' + message['content'] + '<|im_end|>\n' }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}{% else %}{% for message in messages %}{% if message['from'] == 'human' %}{{'<|im_start|>user\n' + message['value'] + '<|im_end|>\n'}}{% elif message['from'] == 'gpt' %}{{'<|im_start|>assistant\n' + message['value'] + '<|im_end|>\n' }}{% else %}{{ '<|im_start|>system\n' + message['value'] + '<|im_end|>\n' }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}{% endif %}",
|
| 182 |
+
"clean_up_tokenization_spaces": false,
|
| 183 |
+
"eos_token": "<|im_end|>",
|
| 184 |
+
"extra_special_tokens": {},
|
| 185 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 186 |
+
"pad_token": "<|vision_pad|>",
|
| 187 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 188 |
+
"unk_token": null
|
| 189 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,2218 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 1.99904,
|
| 6 |
+
"eval_steps": 500,
|
| 7 |
+
"global_step": 3124,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.0064,
|
| 14 |
+
"grad_norm": 1.6328125,
|
| 15 |
+
"learning_rate": 2.7000000000000002e-05,
|
| 16 |
+
"loss": 1.239,
|
| 17 |
+
"step": 10
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 0.0128,
|
| 21 |
+
"grad_norm": 2.328125,
|
| 22 |
+
"learning_rate": 2.99993816906306e-05,
|
| 23 |
+
"loss": 1.1046,
|
| 24 |
+
"step": 20
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.0192,
|
| 28 |
+
"grad_norm": 1.78125,
|
| 29 |
+
"learning_rate": 2.999724439035231e-05,
|
| 30 |
+
"loss": 1.1791,
|
| 31 |
+
"step": 30
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.0256,
|
| 35 |
+
"grad_norm": 1.78125,
|
| 36 |
+
"learning_rate": 2.9993580683196947e-05,
|
| 37 |
+
"loss": 1.213,
|
| 38 |
+
"step": 40
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.032,
|
| 42 |
+
"grad_norm": 1.875,
|
| 43 |
+
"learning_rate": 2.9988390942053532e-05,
|
| 44 |
+
"loss": 1.2061,
|
| 45 |
+
"step": 50
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.0384,
|
| 49 |
+
"grad_norm": 2.125,
|
| 50 |
+
"learning_rate": 2.998167569512954e-05,
|
| 51 |
+
"loss": 1.1253,
|
| 52 |
+
"step": 60
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 0.0448,
|
| 56 |
+
"grad_norm": 2.53125,
|
| 57 |
+
"learning_rate": 2.997343562589714e-05,
|
| 58 |
+
"loss": 1.1766,
|
| 59 |
+
"step": 70
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 0.0512,
|
| 63 |
+
"grad_norm": 2.0,
|
| 64 |
+
"learning_rate": 2.9963671573023613e-05,
|
| 65 |
+
"loss": 1.1442,
|
| 66 |
+
"step": 80
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 0.0576,
|
| 70 |
+
"grad_norm": 3.171875,
|
| 71 |
+
"learning_rate": 2.9952384530286028e-05,
|
| 72 |
+
"loss": 1.0799,
|
| 73 |
+
"step": 90
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 0.064,
|
| 77 |
+
"grad_norm": 2.09375,
|
| 78 |
+
"learning_rate": 2.9939575646470072e-05,
|
| 79 |
+
"loss": 1.108,
|
| 80 |
+
"step": 100
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.0704,
|
| 84 |
+
"grad_norm": 2.65625,
|
| 85 |
+
"learning_rate": 2.9925246225253124e-05,
|
| 86 |
+
"loss": 1.1166,
|
| 87 |
+
"step": 110
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.0768,
|
| 91 |
+
"grad_norm": 1.9375,
|
| 92 |
+
"learning_rate": 2.9909397725071577e-05,
|
| 93 |
+
"loss": 1.1037,
|
| 94 |
+
"step": 120
|
| 95 |
+
},
|
| 96 |
+
{
|
| 97 |
+
"epoch": 0.0832,
|
| 98 |
+
"grad_norm": 2.359375,
|
| 99 |
+
"learning_rate": 2.9892031758972416e-05,
|
| 100 |
+
"loss": 1.1854,
|
| 101 |
+
"step": 130
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"epoch": 0.0896,
|
| 105 |
+
"grad_norm": 1.6171875,
|
| 106 |
+
"learning_rate": 2.9873150094449012e-05,
|
| 107 |
+
"loss": 1.1581,
|
| 108 |
+
"step": 140
|
| 109 |
+
},
|
| 110 |
+
{
|
| 111 |
+
"epoch": 0.096,
|
| 112 |
+
"grad_norm": 3.859375,
|
| 113 |
+
"learning_rate": 2.9852754653261236e-05,
|
| 114 |
+
"loss": 1.1411,
|
| 115 |
+
"step": 150
|
| 116 |
+
},
|
| 117 |
+
{
|
| 118 |
+
"epoch": 0.1024,
|
| 119 |
+
"grad_norm": 2.796875,
|
| 120 |
+
"learning_rate": 2.9830847511239886e-05,
|
| 121 |
+
"loss": 1.2032,
|
| 122 |
+
"step": 160
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 0.1088,
|
| 126 |
+
"grad_norm": 1.75,
|
| 127 |
+
"learning_rate": 2.980743089807539e-05,
|
| 128 |
+
"loss": 1.1435,
|
| 129 |
+
"step": 170
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.1152,
|
| 133 |
+
"grad_norm": 2.203125,
|
| 134 |
+
"learning_rate": 2.9782507197090873e-05,
|
| 135 |
+
"loss": 1.105,
|
| 136 |
+
"step": 180
|
| 137 |
+
},
|
| 138 |
+
{
|
| 139 |
+
"epoch": 0.1216,
|
| 140 |
+
"grad_norm": 2.78125,
|
| 141 |
+
"learning_rate": 2.9756078944999583e-05,
|
| 142 |
+
"loss": 1.1362,
|
| 143 |
+
"step": 190
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"epoch": 0.128,
|
| 147 |
+
"grad_norm": 1.9453125,
|
| 148 |
+
"learning_rate": 2.972814883164671e-05,
|
| 149 |
+
"loss": 1.0945,
|
| 150 |
+
"step": 200
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"epoch": 0.1344,
|
| 154 |
+
"grad_norm": 1.9609375,
|
| 155 |
+
"learning_rate": 2.9698719699735635e-05,
|
| 156 |
+
"loss": 1.138,
|
| 157 |
+
"step": 210
|
| 158 |
+
},
|
| 159 |
+
{
|
| 160 |
+
"epoch": 0.1408,
|
| 161 |
+
"grad_norm": 2.609375,
|
| 162 |
+
"learning_rate": 2.9667794544538547e-05,
|
| 163 |
+
"loss": 1.1012,
|
| 164 |
+
"step": 220
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 0.1472,
|
| 168 |
+
"grad_norm": 2.21875,
|
| 169 |
+
"learning_rate": 2.963537651359166e-05,
|
| 170 |
+
"loss": 1.1816,
|
| 171 |
+
"step": 230
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 0.1536,
|
| 175 |
+
"grad_norm": 2.078125,
|
| 176 |
+
"learning_rate": 2.9601468906374795e-05,
|
| 177 |
+
"loss": 1.1537,
|
| 178 |
+
"step": 240
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"epoch": 0.16,
|
| 182 |
+
"grad_norm": 1.921875,
|
| 183 |
+
"learning_rate": 2.9566075173975597e-05,
|
| 184 |
+
"loss": 1.1143,
|
| 185 |
+
"step": 250
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"epoch": 0.1664,
|
| 189 |
+
"grad_norm": 1.703125,
|
| 190 |
+
"learning_rate": 2.9529198918738284e-05,
|
| 191 |
+
"loss": 1.1162,
|
| 192 |
+
"step": 260
|
| 193 |
+
},
|
| 194 |
+
{
|
| 195 |
+
"epoch": 0.1728,
|
| 196 |
+
"grad_norm": 2.296875,
|
| 197 |
+
"learning_rate": 2.949084389389699e-05,
|
| 198 |
+
"loss": 1.1628,
|
| 199 |
+
"step": 270
|
| 200 |
+
},
|
| 201 |
+
{
|
| 202 |
+
"epoch": 0.1792,
|
| 203 |
+
"grad_norm": 2.15625,
|
| 204 |
+
"learning_rate": 2.9451014003193773e-05,
|
| 205 |
+
"loss": 1.1051,
|
| 206 |
+
"step": 280
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 0.1856,
|
| 210 |
+
"grad_norm": 2.4375,
|
| 211 |
+
"learning_rate": 2.9409713300481292e-05,
|
| 212 |
+
"loss": 1.117,
|
| 213 |
+
"step": 290
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"epoch": 0.192,
|
| 217 |
+
"grad_norm": 2.484375,
|
| 218 |
+
"learning_rate": 2.9366945989310225e-05,
|
| 219 |
+
"loss": 1.1111,
|
| 220 |
+
"step": 300
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"epoch": 0.1984,
|
| 224 |
+
"grad_norm": 2.234375,
|
| 225 |
+
"learning_rate": 2.9322716422501393e-05,
|
| 226 |
+
"loss": 1.1349,
|
| 227 |
+
"step": 310
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 0.2048,
|
| 231 |
+
"grad_norm": 1.921875,
|
| 232 |
+
"learning_rate": 2.9277029101702786e-05,
|
| 233 |
+
"loss": 1.0544,
|
| 234 |
+
"step": 320
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 0.2112,
|
| 238 |
+
"grad_norm": 1.8046875,
|
| 239 |
+
"learning_rate": 2.9229888676931357e-05,
|
| 240 |
+
"loss": 1.1074,
|
| 241 |
+
"step": 330
|
| 242 |
+
},
|
| 243 |
+
{
|
| 244 |
+
"epoch": 0.2176,
|
| 245 |
+
"grad_norm": 1.828125,
|
| 246 |
+
"learning_rate": 2.9181299946099754e-05,
|
| 247 |
+
"loss": 1.1687,
|
| 248 |
+
"step": 340
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 0.224,
|
| 252 |
+
"grad_norm": 1.71875,
|
| 253 |
+
"learning_rate": 2.9131267854527993e-05,
|
| 254 |
+
"loss": 1.1373,
|
| 255 |
+
"step": 350
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 0.2304,
|
| 259 |
+
"grad_norm": 2.0625,
|
| 260 |
+
"learning_rate": 2.9079797494440136e-05,
|
| 261 |
+
"loss": 1.1449,
|
| 262 |
+
"step": 360
|
| 263 |
+
},
|
| 264 |
+
{
|
| 265 |
+
"epoch": 0.2368,
|
| 266 |
+
"grad_norm": 2.703125,
|
| 267 |
+
"learning_rate": 2.9026894104445985e-05,
|
| 268 |
+
"loss": 1.0586,
|
| 269 |
+
"step": 370
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"epoch": 0.2432,
|
| 273 |
+
"grad_norm": 2.21875,
|
| 274 |
+
"learning_rate": 2.8972563069007933e-05,
|
| 275 |
+
"loss": 1.1321,
|
| 276 |
+
"step": 380
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 0.2496,
|
| 280 |
+
"grad_norm": 2.234375,
|
| 281 |
+
"learning_rate": 2.891680991789291e-05,
|
| 282 |
+
"loss": 1.0835,
|
| 283 |
+
"step": 390
|
| 284 |
+
},
|
| 285 |
+
{
|
| 286 |
+
"epoch": 0.256,
|
| 287 |
+
"grad_norm": 2.03125,
|
| 288 |
+
"learning_rate": 2.8859640325609582e-05,
|
| 289 |
+
"loss": 1.0869,
|
| 290 |
+
"step": 400
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 0.2624,
|
| 294 |
+
"grad_norm": 1.78125,
|
| 295 |
+
"learning_rate": 2.8801060110830807e-05,
|
| 296 |
+
"loss": 1.0757,
|
| 297 |
+
"step": 410
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 0.2688,
|
| 301 |
+
"grad_norm": 2.046875,
|
| 302 |
+
"learning_rate": 2.8741075235801406e-05,
|
| 303 |
+
"loss": 1.077,
|
| 304 |
+
"step": 420
|
| 305 |
+
},
|
| 306 |
+
{
|
| 307 |
+
"epoch": 0.2752,
|
| 308 |
+
"grad_norm": 2.0625,
|
| 309 |
+
"learning_rate": 2.8679691805731334e-05,
|
| 310 |
+
"loss": 1.1234,
|
| 311 |
+
"step": 430
|
| 312 |
+
},
|
| 313 |
+
{
|
| 314 |
+
"epoch": 0.2816,
|
| 315 |
+
"grad_norm": 1.9296875,
|
| 316 |
+
"learning_rate": 2.8616916068174298e-05,
|
| 317 |
+
"loss": 1.1914,
|
| 318 |
+
"step": 440
|
| 319 |
+
},
|
| 320 |
+
{
|
| 321 |
+
"epoch": 0.288,
|
| 322 |
+
"grad_norm": 2.265625,
|
| 323 |
+
"learning_rate": 2.8552754412391885e-05,
|
| 324 |
+
"loss": 1.175,
|
| 325 |
+
"step": 450
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"epoch": 0.2944,
|
| 329 |
+
"grad_norm": 2.75,
|
| 330 |
+
"learning_rate": 2.8487213368703274e-05,
|
| 331 |
+
"loss": 1.1524,
|
| 332 |
+
"step": 460
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 0.3008,
|
| 336 |
+
"grad_norm": 1.9375,
|
| 337 |
+
"learning_rate": 2.8420299607820574e-05,
|
| 338 |
+
"loss": 1.0483,
|
| 339 |
+
"step": 470
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 0.3072,
|
| 343 |
+
"grad_norm": 2.28125,
|
| 344 |
+
"learning_rate": 2.8352019940169903e-05,
|
| 345 |
+
"loss": 1.1059,
|
| 346 |
+
"step": 480
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 0.3136,
|
| 350 |
+
"grad_norm": 2.359375,
|
| 351 |
+
"learning_rate": 2.8282381315198205e-05,
|
| 352 |
+
"loss": 1.2019,
|
| 353 |
+
"step": 490
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 0.32,
|
| 357 |
+
"grad_norm": 1.8125,
|
| 358 |
+
"learning_rate": 2.8211390820665962e-05,
|
| 359 |
+
"loss": 1.1448,
|
| 360 |
+
"step": 500
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 0.3264,
|
| 364 |
+
"grad_norm": 1.9375,
|
| 365 |
+
"learning_rate": 2.8139055681925785e-05,
|
| 366 |
+
"loss": 1.166,
|
| 367 |
+
"step": 510
|
| 368 |
+
},
|
| 369 |
+
{
|
| 370 |
+
"epoch": 0.3328,
|
| 371 |
+
"grad_norm": 1.9375,
|
| 372 |
+
"learning_rate": 2.8065383261187055e-05,
|
| 373 |
+
"loss": 1.1071,
|
| 374 |
+
"step": 520
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 0.3392,
|
| 378 |
+
"grad_norm": 1.8125,
|
| 379 |
+
"learning_rate": 2.7990381056766583e-05,
|
| 380 |
+
"loss": 1.0663,
|
| 381 |
+
"step": 530
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"epoch": 0.3456,
|
| 385 |
+
"grad_norm": 2.359375,
|
| 386 |
+
"learning_rate": 2.7914056702325426e-05,
|
| 387 |
+
"loss": 1.0808,
|
| 388 |
+
"step": 540
|
| 389 |
+
},
|
| 390 |
+
{
|
| 391 |
+
"epoch": 0.352,
|
| 392 |
+
"grad_norm": 1.9609375,
|
| 393 |
+
"learning_rate": 2.783641796609197e-05,
|
| 394 |
+
"loss": 1.0989,
|
| 395 |
+
"step": 550
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 0.3584,
|
| 399 |
+
"grad_norm": 1.78125,
|
| 400 |
+
"learning_rate": 2.7757472750071263e-05,
|
| 401 |
+
"loss": 1.1476,
|
| 402 |
+
"step": 560
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"epoch": 0.3648,
|
| 406 |
+
"grad_norm": 2.5625,
|
| 407 |
+
"learning_rate": 2.7677229089240768e-05,
|
| 408 |
+
"loss": 1.1165,
|
| 409 |
+
"step": 570
|
| 410 |
+
},
|
| 411 |
+
{
|
| 412 |
+
"epoch": 0.3712,
|
| 413 |
+
"grad_norm": 2.03125,
|
| 414 |
+
"learning_rate": 2.7595695150732566e-05,
|
| 415 |
+
"loss": 1.1196,
|
| 416 |
+
"step": 580
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 0.3776,
|
| 420 |
+
"grad_norm": 2.015625,
|
| 421 |
+
"learning_rate": 2.75128792330021e-05,
|
| 422 |
+
"loss": 1.1399,
|
| 423 |
+
"step": 590
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 0.384,
|
| 427 |
+
"grad_norm": 2.328125,
|
| 428 |
+
"learning_rate": 2.7428789764983587e-05,
|
| 429 |
+
"loss": 1.1192,
|
| 430 |
+
"step": 600
|
| 431 |
+
},
|
| 432 |
+
{
|
| 433 |
+
"epoch": 0.3904,
|
| 434 |
+
"grad_norm": 2.21875,
|
| 435 |
+
"learning_rate": 2.7343435305232116e-05,
|
| 436 |
+
"loss": 1.1318,
|
| 437 |
+
"step": 610
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 0.3968,
|
| 441 |
+
"grad_norm": 1.796875,
|
| 442 |
+
"learning_rate": 2.7256824541052566e-05,
|
| 443 |
+
"loss": 1.2052,
|
| 444 |
+
"step": 620
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"epoch": 0.4032,
|
| 448 |
+
"grad_norm": 1.984375,
|
| 449 |
+
"learning_rate": 2.7168966287615415e-05,
|
| 450 |
+
"loss": 1.1994,
|
| 451 |
+
"step": 630
|
| 452 |
+
},
|
| 453 |
+
{
|
| 454 |
+
"epoch": 0.4096,
|
| 455 |
+
"grad_norm": 2.0,
|
| 456 |
+
"learning_rate": 2.7079869487059554e-05,
|
| 457 |
+
"loss": 1.0983,
|
| 458 |
+
"step": 640
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 0.416,
|
| 462 |
+
"grad_norm": 2.359375,
|
| 463 |
+
"learning_rate": 2.6989543207582145e-05,
|
| 464 |
+
"loss": 1.0591,
|
| 465 |
+
"step": 650
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"epoch": 0.4224,
|
| 469 |
+
"grad_norm": 2.09375,
|
| 470 |
+
"learning_rate": 2.6897996642515685e-05,
|
| 471 |
+
"loss": 1.1056,
|
| 472 |
+
"step": 660
|
| 473 |
+
},
|
| 474 |
+
{
|
| 475 |
+
"epoch": 0.4288,
|
| 476 |
+
"grad_norm": 2.28125,
|
| 477 |
+
"learning_rate": 2.6805239109392308e-05,
|
| 478 |
+
"loss": 1.1212,
|
| 479 |
+
"step": 670
|
| 480 |
+
},
|
| 481 |
+
{
|
| 482 |
+
"epoch": 0.4352,
|
| 483 |
+
"grad_norm": 1.84375,
|
| 484 |
+
"learning_rate": 2.671128004899545e-05,
|
| 485 |
+
"loss": 1.1195,
|
| 486 |
+
"step": 680
|
| 487 |
+
},
|
| 488 |
+
{
|
| 489 |
+
"epoch": 0.4416,
|
| 490 |
+
"grad_norm": 2.078125,
|
| 491 |
+
"learning_rate": 2.661612902439898e-05,
|
| 492 |
+
"loss": 1.139,
|
| 493 |
+
"step": 690
|
| 494 |
+
},
|
| 495 |
+
{
|
| 496 |
+
"epoch": 0.448,
|
| 497 |
+
"grad_norm": 2.0625,
|
| 498 |
+
"learning_rate": 2.651979571999388e-05,
|
| 499 |
+
"loss": 1.1123,
|
| 500 |
+
"step": 700
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 0.4544,
|
| 504 |
+
"grad_norm": 1.8515625,
|
| 505 |
+
"learning_rate": 2.6422289940502575e-05,
|
| 506 |
+
"loss": 1.1357,
|
| 507 |
+
"step": 710
|
| 508 |
+
},
|
| 509 |
+
{
|
| 510 |
+
"epoch": 0.4608,
|
| 511 |
+
"grad_norm": 2.375,
|
| 512 |
+
"learning_rate": 2.6323621609981003e-05,
|
| 513 |
+
"loss": 1.136,
|
| 514 |
+
"step": 720
|
| 515 |
+
},
|
| 516 |
+
{
|
| 517 |
+
"epoch": 0.4672,
|
| 518 |
+
"grad_norm": 1.8671875,
|
| 519 |
+
"learning_rate": 2.6223800770808576e-05,
|
| 520 |
+
"loss": 1.1279,
|
| 521 |
+
"step": 730
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 0.4736,
|
| 525 |
+
"grad_norm": 2.265625,
|
| 526 |
+
"learning_rate": 2.6122837582666065e-05,
|
| 527 |
+
"loss": 1.1178,
|
| 528 |
+
"step": 740
|
| 529 |
+
},
|
| 530 |
+
{
|
| 531 |
+
"epoch": 0.48,
|
| 532 |
+
"grad_norm": 1.96875,
|
| 533 |
+
"learning_rate": 2.6020742321501548e-05,
|
| 534 |
+
"loss": 1.1197,
|
| 535 |
+
"step": 750
|
| 536 |
+
},
|
| 537 |
+
{
|
| 538 |
+
"epoch": 0.4864,
|
| 539 |
+
"grad_norm": 2.140625,
|
| 540 |
+
"learning_rate": 2.5917525378484542e-05,
|
| 541 |
+
"loss": 1.1162,
|
| 542 |
+
"step": 760
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"epoch": 0.4928,
|
| 546 |
+
"grad_norm": 1.828125,
|
| 547 |
+
"learning_rate": 2.581319725894839e-05,
|
| 548 |
+
"loss": 1.089,
|
| 549 |
+
"step": 770
|
| 550 |
+
},
|
| 551 |
+
{
|
| 552 |
+
"epoch": 0.4992,
|
| 553 |
+
"grad_norm": 1.9765625,
|
| 554 |
+
"learning_rate": 2.5707768581321067e-05,
|
| 555 |
+
"loss": 1.1866,
|
| 556 |
+
"step": 780
|
| 557 |
+
},
|
| 558 |
+
{
|
| 559 |
+
"epoch": 0.5056,
|
| 560 |
+
"grad_norm": 2.109375,
|
| 561 |
+
"learning_rate": 2.560125007604439e-05,
|
| 562 |
+
"loss": 1.152,
|
| 563 |
+
"step": 790
|
| 564 |
+
},
|
| 565 |
+
{
|
| 566 |
+
"epoch": 0.512,
|
| 567 |
+
"grad_norm": 2.984375,
|
| 568 |
+
"learning_rate": 2.5493652584481944e-05,
|
| 569 |
+
"loss": 1.1716,
|
| 570 |
+
"step": 800
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 0.5184,
|
| 574 |
+
"grad_norm": 2.3125,
|
| 575 |
+
"learning_rate": 2.53849870578156e-05,
|
| 576 |
+
"loss": 1.0954,
|
| 577 |
+
"step": 810
|
| 578 |
+
},
|
| 579 |
+
{
|
| 580 |
+
"epoch": 0.5248,
|
| 581 |
+
"grad_norm": 2.578125,
|
| 582 |
+
"learning_rate": 2.5275264555930956e-05,
|
| 583 |
+
"loss": 1.0561,
|
| 584 |
+
"step": 820
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 0.5312,
|
| 588 |
+
"grad_norm": 1.96875,
|
| 589 |
+
"learning_rate": 2.5164496246291653e-05,
|
| 590 |
+
"loss": 1.1518,
|
| 591 |
+
"step": 830
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 0.5376,
|
| 595 |
+
"grad_norm": 2.609375,
|
| 596 |
+
"learning_rate": 2.505269340280277e-05,
|
| 597 |
+
"loss": 1.1361,
|
| 598 |
+
"step": 840
|
| 599 |
+
},
|
| 600 |
+
{
|
| 601 |
+
"epoch": 0.544,
|
| 602 |
+
"grad_norm": 2.53125,
|
| 603 |
+
"learning_rate": 2.4939867404663354e-05,
|
| 604 |
+
"loss": 1.1038,
|
| 605 |
+
"step": 850
|
| 606 |
+
},
|
| 607 |
+
{
|
| 608 |
+
"epoch": 0.5504,
|
| 609 |
+
"grad_norm": 2.546875,
|
| 610 |
+
"learning_rate": 2.4826029735208273e-05,
|
| 611 |
+
"loss": 1.2142,
|
| 612 |
+
"step": 860
|
| 613 |
+
},
|
| 614 |
+
{
|
| 615 |
+
"epoch": 0.5568,
|
| 616 |
+
"grad_norm": 1.7421875,
|
| 617 |
+
"learning_rate": 2.471119198073946e-05,
|
| 618 |
+
"loss": 1.139,
|
| 619 |
+
"step": 870
|
| 620 |
+
},
|
| 621 |
+
{
|
| 622 |
+
"epoch": 0.5632,
|
| 623 |
+
"grad_norm": 2.5625,
|
| 624 |
+
"learning_rate": 2.4595365829346638e-05,
|
| 625 |
+
"loss": 1.0655,
|
| 626 |
+
"step": 880
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 0.5696,
|
| 630 |
+
"grad_norm": 2.65625,
|
| 631 |
+
"learning_rate": 2.447856306971775e-05,
|
| 632 |
+
"loss": 1.0564,
|
| 633 |
+
"step": 890
|
| 634 |
+
},
|
| 635 |
+
{
|
| 636 |
+
"epoch": 0.576,
|
| 637 |
+
"grad_norm": 2.9375,
|
| 638 |
+
"learning_rate": 2.436079558993909e-05,
|
| 639 |
+
"loss": 1.1195,
|
| 640 |
+
"step": 900
|
| 641 |
+
},
|
| 642 |
+
{
|
| 643 |
+
"epoch": 0.5824,
|
| 644 |
+
"grad_norm": 2.921875,
|
| 645 |
+
"learning_rate": 2.424207537628537e-05,
|
| 646 |
+
"loss": 1.0753,
|
| 647 |
+
"step": 910
|
| 648 |
+
},
|
| 649 |
+
{
|
| 650 |
+
"epoch": 0.5888,
|
| 651 |
+
"grad_norm": 1.7421875,
|
| 652 |
+
"learning_rate": 2.4122414511999727e-05,
|
| 653 |
+
"loss": 1.1333,
|
| 654 |
+
"step": 920
|
| 655 |
+
},
|
| 656 |
+
{
|
| 657 |
+
"epoch": 0.5952,
|
| 658 |
+
"grad_norm": 2.46875,
|
| 659 |
+
"learning_rate": 2.4001825176063943e-05,
|
| 660 |
+
"loss": 1.0526,
|
| 661 |
+
"step": 930
|
| 662 |
+
},
|
| 663 |
+
{
|
| 664 |
+
"epoch": 0.6016,
|
| 665 |
+
"grad_norm": 2.15625,
|
| 666 |
+
"learning_rate": 2.3880319641958862e-05,
|
| 667 |
+
"loss": 1.0355,
|
| 668 |
+
"step": 940
|
| 669 |
+
},
|
| 670 |
+
{
|
| 671 |
+
"epoch": 0.608,
|
| 672 |
+
"grad_norm": 2.171875,
|
| 673 |
+
"learning_rate": 2.375791027641521e-05,
|
| 674 |
+
"loss": 1.1634,
|
| 675 |
+
"step": 950
|
| 676 |
+
},
|
| 677 |
+
{
|
| 678 |
+
"epoch": 0.6144,
|
| 679 |
+
"grad_norm": 2.1875,
|
| 680 |
+
"learning_rate": 2.3634609538154882e-05,
|
| 681 |
+
"loss": 1.0915,
|
| 682 |
+
"step": 960
|
| 683 |
+
},
|
| 684 |
+
{
|
| 685 |
+
"epoch": 0.6208,
|
| 686 |
+
"grad_norm": 2.203125,
|
| 687 |
+
"learning_rate": 2.3510429976622975e-05,
|
| 688 |
+
"loss": 1.0805,
|
| 689 |
+
"step": 970
|
| 690 |
+
},
|
| 691 |
+
{
|
| 692 |
+
"epoch": 0.6272,
|
| 693 |
+
"grad_norm": 1.9375,
|
| 694 |
+
"learning_rate": 2.338538423071045e-05,
|
| 695 |
+
"loss": 1.0966,
|
| 696 |
+
"step": 980
|
| 697 |
+
},
|
| 698 |
+
{
|
| 699 |
+
"epoch": 0.6336,
|
| 700 |
+
"grad_norm": 1.765625,
|
| 701 |
+
"learning_rate": 2.32594850274678e-05,
|
| 702 |
+
"loss": 1.0045,
|
| 703 |
+
"step": 990
|
| 704 |
+
},
|
| 705 |
+
{
|
| 706 |
+
"epoch": 0.64,
|
| 707 |
+
"grad_norm": 2.890625,
|
| 708 |
+
"learning_rate": 2.3132745180809675e-05,
|
| 709 |
+
"loss": 1.0359,
|
| 710 |
+
"step": 1000
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"epoch": 0.6464,
|
| 714 |
+
"grad_norm": 1.8984375,
|
| 715 |
+
"learning_rate": 2.3005177590210713e-05,
|
| 716 |
+
"loss": 1.1221,
|
| 717 |
+
"step": 1010
|
| 718 |
+
},
|
| 719 |
+
{
|
| 720 |
+
"epoch": 0.6528,
|
| 721 |
+
"grad_norm": 1.828125,
|
| 722 |
+
"learning_rate": 2.287679523939261e-05,
|
| 723 |
+
"loss": 1.1291,
|
| 724 |
+
"step": 1020
|
| 725 |
+
},
|
| 726 |
+
{
|
| 727 |
+
"epoch": 0.6592,
|
| 728 |
+
"grad_norm": 2.046875,
|
| 729 |
+
"learning_rate": 2.2747611195002687e-05,
|
| 730 |
+
"loss": 1.0904,
|
| 731 |
+
"step": 1030
|
| 732 |
+
},
|
| 733 |
+
{
|
| 734 |
+
"epoch": 0.6656,
|
| 735 |
+
"grad_norm": 1.890625,
|
| 736 |
+
"learning_rate": 2.2617638605283966e-05,
|
| 737 |
+
"loss": 1.1363,
|
| 738 |
+
"step": 1040
|
| 739 |
+
},
|
| 740 |
+
{
|
| 741 |
+
"epoch": 0.672,
|
| 742 |
+
"grad_norm": 2.046875,
|
| 743 |
+
"learning_rate": 2.248689069873693e-05,
|
| 744 |
+
"loss": 1.1025,
|
| 745 |
+
"step": 1050
|
| 746 |
+
},
|
| 747 |
+
{
|
| 748 |
+
"epoch": 0.6784,
|
| 749 |
+
"grad_norm": 2.75,
|
| 750 |
+
"learning_rate": 2.235538078277317e-05,
|
| 751 |
+
"loss": 1.096,
|
| 752 |
+
"step": 1060
|
| 753 |
+
},
|
| 754 |
+
{
|
| 755 |
+
"epoch": 0.6848,
|
| 756 |
+
"grad_norm": 1.8515625,
|
| 757 |
+
"learning_rate": 2.222312224236093e-05,
|
| 758 |
+
"loss": 1.084,
|
| 759 |
+
"step": 1070
|
| 760 |
+
},
|
| 761 |
+
{
|
| 762 |
+
"epoch": 0.6912,
|
| 763 |
+
"grad_norm": 2.296875,
|
| 764 |
+
"learning_rate": 2.2090128538662844e-05,
|
| 765 |
+
"loss": 1.1673,
|
| 766 |
+
"step": 1080
|
| 767 |
+
},
|
| 768 |
+
{
|
| 769 |
+
"epoch": 0.6976,
|
| 770 |
+
"grad_norm": 2.328125,
|
| 771 |
+
"learning_rate": 2.1956413207665835e-05,
|
| 772 |
+
"loss": 1.1464,
|
| 773 |
+
"step": 1090
|
| 774 |
+
},
|
| 775 |
+
{
|
| 776 |
+
"epoch": 0.704,
|
| 777 |
+
"grad_norm": 2.34375,
|
| 778 |
+
"learning_rate": 2.1821989858803438e-05,
|
| 779 |
+
"loss": 1.0856,
|
| 780 |
+
"step": 1100
|
| 781 |
+
},
|
| 782 |
+
{
|
| 783 |
+
"epoch": 0.7104,
|
| 784 |
+
"grad_norm": 1.59375,
|
| 785 |
+
"learning_rate": 2.1686872173570655e-05,
|
| 786 |
+
"loss": 1.1303,
|
| 787 |
+
"step": 1110
|
| 788 |
+
},
|
| 789 |
+
{
|
| 790 |
+
"epoch": 0.7168,
|
| 791 |
+
"grad_norm": 1.9296875,
|
| 792 |
+
"learning_rate": 2.1551073904131452e-05,
|
| 793 |
+
"loss": 1.1097,
|
| 794 |
+
"step": 1120
|
| 795 |
+
},
|
| 796 |
+
{
|
| 797 |
+
"epoch": 0.7232,
|
| 798 |
+
"grad_norm": 2.59375,
|
| 799 |
+
"learning_rate": 2.141460887191909e-05,
|
| 800 |
+
"loss": 1.1261,
|
| 801 |
+
"step": 1130
|
| 802 |
+
},
|
| 803 |
+
{
|
| 804 |
+
"epoch": 0.7296,
|
| 805 |
+
"grad_norm": 1.9921875,
|
| 806 |
+
"learning_rate": 2.1277490966229375e-05,
|
| 807 |
+
"loss": 1.1666,
|
| 808 |
+
"step": 1140
|
| 809 |
+
},
|
| 810 |
+
{
|
| 811 |
+
"epoch": 0.736,
|
| 812 |
+
"grad_norm": 2.078125,
|
| 813 |
+
"learning_rate": 2.1139734142807027e-05,
|
| 814 |
+
"loss": 1.1462,
|
| 815 |
+
"step": 1150
|
| 816 |
+
},
|
| 817 |
+
{
|
| 818 |
+
"epoch": 0.7424,
|
| 819 |
+
"grad_norm": 2.234375,
|
| 820 |
+
"learning_rate": 2.100135242242528e-05,
|
| 821 |
+
"loss": 1.0577,
|
| 822 |
+
"step": 1160
|
| 823 |
+
},
|
| 824 |
+
{
|
| 825 |
+
"epoch": 0.7488,
|
| 826 |
+
"grad_norm": 1.9765625,
|
| 827 |
+
"learning_rate": 2.0862359889458835e-05,
|
| 828 |
+
"loss": 1.1435,
|
| 829 |
+
"step": 1170
|
| 830 |
+
},
|
| 831 |
+
{
|
| 832 |
+
"epoch": 0.7552,
|
| 833 |
+
"grad_norm": 1.640625,
|
| 834 |
+
"learning_rate": 2.07227706904504e-05,
|
| 835 |
+
"loss": 1.101,
|
| 836 |
+
"step": 1180
|
| 837 |
+
},
|
| 838 |
+
{
|
| 839 |
+
"epoch": 0.7616,
|
| 840 |
+
"grad_norm": 2.59375,
|
| 841 |
+
"learning_rate": 2.0582599032670846e-05,
|
| 842 |
+
"loss": 1.0775,
|
| 843 |
+
"step": 1190
|
| 844 |
+
},
|
| 845 |
+
{
|
| 846 |
+
"epoch": 0.768,
|
| 847 |
+
"grad_norm": 1.828125,
|
| 848 |
+
"learning_rate": 2.0441859182673195e-05,
|
| 849 |
+
"loss": 1.0275,
|
| 850 |
+
"step": 1200
|
| 851 |
+
},
|
| 852 |
+
{
|
| 853 |
+
"epoch": 0.7744,
|
| 854 |
+
"grad_norm": 1.9296875,
|
| 855 |
+
"learning_rate": 2.0300565464840613e-05,
|
| 856 |
+
"loss": 1.1269,
|
| 857 |
+
"step": 1210
|
| 858 |
+
},
|
| 859 |
+
{
|
| 860 |
+
"epoch": 0.7808,
|
| 861 |
+
"grad_norm": 1.7734375,
|
| 862 |
+
"learning_rate": 2.0158732259928453e-05,
|
| 863 |
+
"loss": 0.993,
|
| 864 |
+
"step": 1220
|
| 865 |
+
},
|
| 866 |
+
{
|
| 867 |
+
"epoch": 0.7872,
|
| 868 |
+
"grad_norm": 2.015625,
|
| 869 |
+
"learning_rate": 2.0016374003600604e-05,
|
| 870 |
+
"loss": 1.126,
|
| 871 |
+
"step": 1230
|
| 872 |
+
},
|
| 873 |
+
{
|
| 874 |
+
"epoch": 0.7936,
|
| 875 |
+
"grad_norm": 2.234375,
|
| 876 |
+
"learning_rate": 1.9873505184960255e-05,
|
| 877 |
+
"loss": 1.0847,
|
| 878 |
+
"step": 1240
|
| 879 |
+
},
|
| 880 |
+
{
|
| 881 |
+
"epoch": 0.8,
|
| 882 |
+
"grad_norm": 2.125,
|
| 883 |
+
"learning_rate": 1.9730140345075187e-05,
|
| 884 |
+
"loss": 1.0819,
|
| 885 |
+
"step": 1250
|
| 886 |
+
},
|
| 887 |
+
{
|
| 888 |
+
"epoch": 0.8064,
|
| 889 |
+
"grad_norm": 1.9375,
|
| 890 |
+
"learning_rate": 1.9586294075497825e-05,
|
| 891 |
+
"loss": 1.0683,
|
| 892 |
+
"step": 1260
|
| 893 |
+
},
|
| 894 |
+
{
|
| 895 |
+
"epoch": 0.8128,
|
| 896 |
+
"grad_norm": 1.8046875,
|
| 897 |
+
"learning_rate": 1.9441981016780074e-05,
|
| 898 |
+
"loss": 1.1951,
|
| 899 |
+
"step": 1270
|
| 900 |
+
},
|
| 901 |
+
{
|
| 902 |
+
"epoch": 0.8192,
|
| 903 |
+
"grad_norm": 1.7578125,
|
| 904 |
+
"learning_rate": 1.929721585698326e-05,
|
| 905 |
+
"loss": 1.0735,
|
| 906 |
+
"step": 1280
|
| 907 |
+
},
|
| 908 |
+
{
|
| 909 |
+
"epoch": 0.8256,
|
| 910 |
+
"grad_norm": 2.421875,
|
| 911 |
+
"learning_rate": 1.9152013330183175e-05,
|
| 912 |
+
"loss": 1.0937,
|
| 913 |
+
"step": 1290
|
| 914 |
+
},
|
| 915 |
+
{
|
| 916 |
+
"epoch": 0.832,
|
| 917 |
+
"grad_norm": 1.78125,
|
| 918 |
+
"learning_rate": 1.9006388214970442e-05,
|
| 919 |
+
"loss": 1.1384,
|
| 920 |
+
"step": 1300
|
| 921 |
+
},
|
| 922 |
+
{
|
| 923 |
+
"epoch": 0.8384,
|
| 924 |
+
"grad_norm": 1.84375,
|
| 925 |
+
"learning_rate": 1.8860355332946405e-05,
|
| 926 |
+
"loss": 1.0922,
|
| 927 |
+
"step": 1310
|
| 928 |
+
},
|
| 929 |
+
{
|
| 930 |
+
"epoch": 0.8448,
|
| 931 |
+
"grad_norm": 1.890625,
|
| 932 |
+
"learning_rate": 1.871392954721454e-05,
|
| 933 |
+
"loss": 1.1578,
|
| 934 |
+
"step": 1320
|
| 935 |
+
},
|
| 936 |
+
{
|
| 937 |
+
"epoch": 0.8512,
|
| 938 |
+
"grad_norm": 1.84375,
|
| 939 |
+
"learning_rate": 1.856712576086774e-05,
|
| 940 |
+
"loss": 1.1425,
|
| 941 |
+
"step": 1330
|
| 942 |
+
},
|
| 943 |
+
{
|
| 944 |
+
"epoch": 0.8576,
|
| 945 |
+
"grad_norm": 2.21875,
|
| 946 |
+
"learning_rate": 1.8419958915471483e-05,
|
| 947 |
+
"loss": 1.0089,
|
| 948 |
+
"step": 1340
|
| 949 |
+
},
|
| 950 |
+
{
|
| 951 |
+
"epoch": 0.864,
|
| 952 |
+
"grad_norm": 1.8828125,
|
| 953 |
+
"learning_rate": 1.8272443989543102e-05,
|
| 954 |
+
"loss": 1.1178,
|
| 955 |
+
"step": 1350
|
| 956 |
+
},
|
| 957 |
+
{
|
| 958 |
+
"epoch": 0.8704,
|
| 959 |
+
"grad_norm": 1.7890625,
|
| 960 |
+
"learning_rate": 1.8124595997027255e-05,
|
| 961 |
+
"loss": 1.1146,
|
| 962 |
+
"step": 1360
|
| 963 |
+
},
|
| 964 |
+
{
|
| 965 |
+
"epoch": 0.8768,
|
| 966 |
+
"grad_norm": 2.15625,
|
| 967 |
+
"learning_rate": 1.7976429985767842e-05,
|
| 968 |
+
"loss": 1.1538,
|
| 969 |
+
"step": 1370
|
| 970 |
+
},
|
| 971 |
+
{
|
| 972 |
+
"epoch": 0.8832,
|
| 973 |
+
"grad_norm": 1.9140625,
|
| 974 |
+
"learning_rate": 1.782796103597645e-05,
|
| 975 |
+
"loss": 1.1488,
|
| 976 |
+
"step": 1380
|
| 977 |
+
},
|
| 978 |
+
{
|
| 979 |
+
"epoch": 0.8896,
|
| 980 |
+
"grad_norm": 2.1875,
|
| 981 |
+
"learning_rate": 1.7679204258697482e-05,
|
| 982 |
+
"loss": 1.0986,
|
| 983 |
+
"step": 1390
|
| 984 |
+
},
|
| 985 |
+
{
|
| 986 |
+
"epoch": 0.896,
|
| 987 |
+
"grad_norm": 2.328125,
|
| 988 |
+
"learning_rate": 1.7530174794270187e-05,
|
| 989 |
+
"loss": 1.1119,
|
| 990 |
+
"step": 1400
|
| 991 |
+
},
|
| 992 |
+
{
|
| 993 |
+
"epoch": 0.9024,
|
| 994 |
+
"grad_norm": 2.5625,
|
| 995 |
+
"learning_rate": 1.738088781078768e-05,
|
| 996 |
+
"loss": 1.0861,
|
| 997 |
+
"step": 1410
|
| 998 |
+
},
|
| 999 |
+
{
|
| 1000 |
+
"epoch": 0.9088,
|
| 1001 |
+
"grad_norm": 1.84375,
|
| 1002 |
+
"learning_rate": 1.723135850255315e-05,
|
| 1003 |
+
"loss": 1.0417,
|
| 1004 |
+
"step": 1420
|
| 1005 |
+
},
|
| 1006 |
+
{
|
| 1007 |
+
"epoch": 0.9152,
|
| 1008 |
+
"grad_norm": 1.78125,
|
| 1009 |
+
"learning_rate": 1.7081602088533396e-05,
|
| 1010 |
+
"loss": 1.0948,
|
| 1011 |
+
"step": 1430
|
| 1012 |
+
},
|
| 1013 |
+
{
|
| 1014 |
+
"epoch": 0.9216,
|
| 1015 |
+
"grad_norm": 1.984375,
|
| 1016 |
+
"learning_rate": 1.693163381080984e-05,
|
| 1017 |
+
"loss": 1.1347,
|
| 1018 |
+
"step": 1440
|
| 1019 |
+
},
|
| 1020 |
+
{
|
| 1021 |
+
"epoch": 0.928,
|
| 1022 |
+
"grad_norm": 1.6796875,
|
| 1023 |
+
"learning_rate": 1.6781468933027233e-05,
|
| 1024 |
+
"loss": 1.0932,
|
| 1025 |
+
"step": 1450
|
| 1026 |
+
},
|
| 1027 |
+
{
|
| 1028 |
+
"epoch": 0.9344,
|
| 1029 |
+
"grad_norm": 1.96875,
|
| 1030 |
+
"learning_rate": 1.6631122738840098e-05,
|
| 1031 |
+
"loss": 1.1218,
|
| 1032 |
+
"step": 1460
|
| 1033 |
+
},
|
| 1034 |
+
{
|
| 1035 |
+
"epoch": 0.9408,
|
| 1036 |
+
"grad_norm": 2.671875,
|
| 1037 |
+
"learning_rate": 1.6480610530357198e-05,
|
| 1038 |
+
"loss": 1.0991,
|
| 1039 |
+
"step": 1470
|
| 1040 |
+
},
|
| 1041 |
+
{
|
| 1042 |
+
"epoch": 0.9472,
|
| 1043 |
+
"grad_norm": 1.984375,
|
| 1044 |
+
"learning_rate": 1.6329947626584088e-05,
|
| 1045 |
+
"loss": 1.0969,
|
| 1046 |
+
"step": 1480
|
| 1047 |
+
},
|
| 1048 |
+
{
|
| 1049 |
+
"epoch": 0.9536,
|
| 1050 |
+
"grad_norm": 1.75,
|
| 1051 |
+
"learning_rate": 1.617914936186395e-05,
|
| 1052 |
+
"loss": 1.0271,
|
| 1053 |
+
"step": 1490
|
| 1054 |
+
},
|
| 1055 |
+
{
|
| 1056 |
+
"epoch": 0.96,
|
| 1057 |
+
"grad_norm": 1.890625,
|
| 1058 |
+
"learning_rate": 1.6028231084316914e-05,
|
| 1059 |
+
"loss": 1.0578,
|
| 1060 |
+
"step": 1500
|
| 1061 |
+
},
|
| 1062 |
+
{
|
| 1063 |
+
"epoch": 0.9664,
|
| 1064 |
+
"grad_norm": 2.421875,
|
| 1065 |
+
"learning_rate": 1.5877208154277893e-05,
|
| 1066 |
+
"loss": 1.033,
|
| 1067 |
+
"step": 1510
|
| 1068 |
+
},
|
| 1069 |
+
{
|
| 1070 |
+
"epoch": 0.9728,
|
| 1071 |
+
"grad_norm": 1.8515625,
|
| 1072 |
+
"learning_rate": 1.5726095942733252e-05,
|
| 1073 |
+
"loss": 1.0599,
|
| 1074 |
+
"step": 1520
|
| 1075 |
+
},
|
| 1076 |
+
{
|
| 1077 |
+
"epoch": 0.9792,
|
| 1078 |
+
"grad_norm": 3.4375,
|
| 1079 |
+
"learning_rate": 1.5574909829756355e-05,
|
| 1080 |
+
"loss": 1.1695,
|
| 1081 |
+
"step": 1530
|
| 1082 |
+
},
|
| 1083 |
+
{
|
| 1084 |
+
"epoch": 0.9856,
|
| 1085 |
+
"grad_norm": 2.28125,
|
| 1086 |
+
"learning_rate": 1.5423665202942176e-05,
|
| 1087 |
+
"loss": 1.0135,
|
| 1088 |
+
"step": 1540
|
| 1089 |
+
},
|
| 1090 |
+
{
|
| 1091 |
+
"epoch": 0.992,
|
| 1092 |
+
"grad_norm": 2.03125,
|
| 1093 |
+
"learning_rate": 1.5272377455841203e-05,
|
| 1094 |
+
"loss": 1.0969,
|
| 1095 |
+
"step": 1550
|
| 1096 |
+
},
|
| 1097 |
+
{
|
| 1098 |
+
"epoch": 0.9984,
|
| 1099 |
+
"grad_norm": 2.09375,
|
| 1100 |
+
"learning_rate": 1.5121061986392642e-05,
|
| 1101 |
+
"loss": 1.1522,
|
| 1102 |
+
"step": 1560
|
| 1103 |
+
},
|
| 1104 |
+
{
|
| 1105 |
+
"epoch": 1.00448,
|
| 1106 |
+
"grad_norm": 2.6875,
|
| 1107 |
+
"learning_rate": 1.4969734195357282e-05,
|
| 1108 |
+
"loss": 1.0479,
|
| 1109 |
+
"step": 1570
|
| 1110 |
+
},
|
| 1111 |
+
{
|
| 1112 |
+
"epoch": 1.01088,
|
| 1113 |
+
"grad_norm": 1.78125,
|
| 1114 |
+
"learning_rate": 1.481840948474997e-05,
|
| 1115 |
+
"loss": 1.01,
|
| 1116 |
+
"step": 1580
|
| 1117 |
+
},
|
| 1118 |
+
{
|
| 1119 |
+
"epoch": 1.01728,
|
| 1120 |
+
"grad_norm": 1.7109375,
|
| 1121 |
+
"learning_rate": 1.466710325627205e-05,
|
| 1122 |
+
"loss": 1.0202,
|
| 1123 |
+
"step": 1590
|
| 1124 |
+
},
|
| 1125 |
+
{
|
| 1126 |
+
"epoch": 1.02368,
|
| 1127 |
+
"grad_norm": 1.984375,
|
| 1128 |
+
"learning_rate": 1.4515830909743756e-05,
|
| 1129 |
+
"loss": 1.0148,
|
| 1130 |
+
"step": 1600
|
| 1131 |
+
},
|
| 1132 |
+
{
|
| 1133 |
+
"epoch": 1.03008,
|
| 1134 |
+
"grad_norm": 1.8125,
|
| 1135 |
+
"learning_rate": 1.436460784153685e-05,
|
| 1136 |
+
"loss": 0.8966,
|
| 1137 |
+
"step": 1610
|
| 1138 |
+
},
|
| 1139 |
+
{
|
| 1140 |
+
"epoch": 1.03648,
|
| 1141 |
+
"grad_norm": 2.15625,
|
| 1142 |
+
"learning_rate": 1.4213449443007595e-05,
|
| 1143 |
+
"loss": 0.9647,
|
| 1144 |
+
"step": 1620
|
| 1145 |
+
},
|
| 1146 |
+
{
|
| 1147 |
+
"epoch": 1.04288,
|
| 1148 |
+
"grad_norm": 2.140625,
|
| 1149 |
+
"learning_rate": 1.4062371098930216e-05,
|
| 1150 |
+
"loss": 0.9537,
|
| 1151 |
+
"step": 1630
|
| 1152 |
+
},
|
| 1153 |
+
{
|
| 1154 |
+
"epoch": 1.04928,
|
| 1155 |
+
"grad_norm": 1.890625,
|
| 1156 |
+
"learning_rate": 1.3911388185931075e-05,
|
| 1157 |
+
"loss": 0.95,
|
| 1158 |
+
"step": 1640
|
| 1159 |
+
},
|
| 1160 |
+
{
|
| 1161 |
+
"epoch": 1.05568,
|
| 1162 |
+
"grad_norm": 1.8828125,
|
| 1163 |
+
"learning_rate": 1.3760516070923629e-05,
|
| 1164 |
+
"loss": 1.0116,
|
| 1165 |
+
"step": 1650
|
| 1166 |
+
},
|
| 1167 |
+
{
|
| 1168 |
+
"epoch": 1.06208,
|
| 1169 |
+
"grad_norm": 2.296875,
|
| 1170 |
+
"learning_rate": 1.360977010954442e-05,
|
| 1171 |
+
"loss": 1.01,
|
| 1172 |
+
"step": 1660
|
| 1173 |
+
},
|
| 1174 |
+
{
|
| 1175 |
+
"epoch": 1.06848,
|
| 1176 |
+
"grad_norm": 1.8203125,
|
| 1177 |
+
"learning_rate": 1.3459165644590173e-05,
|
| 1178 |
+
"loss": 1.0077,
|
| 1179 |
+
"step": 1670
|
| 1180 |
+
},
|
| 1181 |
+
{
|
| 1182 |
+
"epoch": 1.07488,
|
| 1183 |
+
"grad_norm": 1.5546875,
|
| 1184 |
+
"learning_rate": 1.3308718004456223e-05,
|
| 1185 |
+
"loss": 1.0607,
|
| 1186 |
+
"step": 1680
|
| 1187 |
+
},
|
| 1188 |
+
{
|
| 1189 |
+
"epoch": 1.08128,
|
| 1190 |
+
"grad_norm": 1.84375,
|
| 1191 |
+
"learning_rate": 1.3158442501576419e-05,
|
| 1192 |
+
"loss": 0.9339,
|
| 1193 |
+
"step": 1690
|
| 1194 |
+
},
|
| 1195 |
+
{
|
| 1196 |
+
"epoch": 1.08768,
|
| 1197 |
+
"grad_norm": 2.296875,
|
| 1198 |
+
"learning_rate": 1.3008354430864615e-05,
|
| 1199 |
+
"loss": 0.9697,
|
| 1200 |
+
"step": 1700
|
| 1201 |
+
},
|
| 1202 |
+
{
|
| 1203 |
+
"epoch": 1.09408,
|
| 1204 |
+
"grad_norm": 2.5,
|
| 1205 |
+
"learning_rate": 1.2858469068157982e-05,
|
| 1206 |
+
"loss": 0.9857,
|
| 1207 |
+
"step": 1710
|
| 1208 |
+
},
|
| 1209 |
+
{
|
| 1210 |
+
"epoch": 1.10048,
|
| 1211 |
+
"grad_norm": 1.671875,
|
| 1212 |
+
"learning_rate": 1.270880166866224e-05,
|
| 1213 |
+
"loss": 1.0362,
|
| 1214 |
+
"step": 1720
|
| 1215 |
+
},
|
| 1216 |
+
{
|
| 1217 |
+
"epoch": 1.10688,
|
| 1218 |
+
"grad_norm": 2.125,
|
| 1219 |
+
"learning_rate": 1.2559367465398994e-05,
|
| 1220 |
+
"loss": 1.0572,
|
| 1221 |
+
"step": 1730
|
| 1222 |
+
},
|
| 1223 |
+
{
|
| 1224 |
+
"epoch": 1.11328,
|
| 1225 |
+
"grad_norm": 2.265625,
|
| 1226 |
+
"learning_rate": 1.2410181667655342e-05,
|
| 1227 |
+
"loss": 1.0424,
|
| 1228 |
+
"step": 1740
|
| 1229 |
+
},
|
| 1230 |
+
{
|
| 1231 |
+
"epoch": 1.11968,
|
| 1232 |
+
"grad_norm": 1.921875,
|
| 1233 |
+
"learning_rate": 1.2261259459435866e-05,
|
| 1234 |
+
"loss": 0.9826,
|
| 1235 |
+
"step": 1750
|
| 1236 |
+
},
|
| 1237 |
+
{
|
| 1238 |
+
"epoch": 1.12608,
|
| 1239 |
+
"grad_norm": 1.7578125,
|
| 1240 |
+
"learning_rate": 1.2112615997917243e-05,
|
| 1241 |
+
"loss": 1.06,
|
| 1242 |
+
"step": 1760
|
| 1243 |
+
},
|
| 1244 |
+
{
|
| 1245 |
+
"epoch": 1.13248,
|
| 1246 |
+
"grad_norm": 1.6953125,
|
| 1247 |
+
"learning_rate": 1.1964266411905538e-05,
|
| 1248 |
+
"loss": 0.9296,
|
| 1249 |
+
"step": 1770
|
| 1250 |
+
},
|
| 1251 |
+
{
|
| 1252 |
+
"epoch": 1.13888,
|
| 1253 |
+
"grad_norm": 2.609375,
|
| 1254 |
+
"learning_rate": 1.1816225800296402e-05,
|
| 1255 |
+
"loss": 0.9885,
|
| 1256 |
+
"step": 1780
|
| 1257 |
+
},
|
| 1258 |
+
{
|
| 1259 |
+
"epoch": 1.14528,
|
| 1260 |
+
"grad_norm": 2.0625,
|
| 1261 |
+
"learning_rate": 1.166850923053836e-05,
|
| 1262 |
+
"loss": 1.0868,
|
| 1263 |
+
"step": 1790
|
| 1264 |
+
},
|
| 1265 |
+
{
|
| 1266 |
+
"epoch": 1.15168,
|
| 1267 |
+
"grad_norm": 1.7265625,
|
| 1268 |
+
"learning_rate": 1.1521131737099206e-05,
|
| 1269 |
+
"loss": 1.0495,
|
| 1270 |
+
"step": 1800
|
| 1271 |
+
},
|
| 1272 |
+
{
|
| 1273 |
+
"epoch": 1.15808,
|
| 1274 |
+
"grad_norm": 1.8828125,
|
| 1275 |
+
"learning_rate": 1.1374108319935852e-05,
|
| 1276 |
+
"loss": 0.9584,
|
| 1277 |
+
"step": 1810
|
| 1278 |
+
},
|
| 1279 |
+
{
|
| 1280 |
+
"epoch": 1.16448,
|
| 1281 |
+
"grad_norm": 2.0625,
|
| 1282 |
+
"learning_rate": 1.1227453942967615e-05,
|
| 1283 |
+
"loss": 0.9654,
|
| 1284 |
+
"step": 1820
|
| 1285 |
+
},
|
| 1286 |
+
{
|
| 1287 |
+
"epoch": 1.17088,
|
| 1288 |
+
"grad_norm": 1.6796875,
|
| 1289 |
+
"learning_rate": 1.1081183532553197e-05,
|
| 1290 |
+
"loss": 1.039,
|
| 1291 |
+
"step": 1830
|
| 1292 |
+
},
|
| 1293 |
+
{
|
| 1294 |
+
"epoch": 1.17728,
|
| 1295 |
+
"grad_norm": 1.75,
|
| 1296 |
+
"learning_rate": 1.0935311975971545e-05,
|
| 1297 |
+
"loss": 1.0529,
|
| 1298 |
+
"step": 1840
|
| 1299 |
+
},
|
| 1300 |
+
{
|
| 1301 |
+
"epoch": 1.18368,
|
| 1302 |
+
"grad_norm": 1.59375,
|
| 1303 |
+
"learning_rate": 1.0789854119906566e-05,
|
| 1304 |
+
"loss": 0.9898,
|
| 1305 |
+
"step": 1850
|
| 1306 |
+
},
|
| 1307 |
+
{
|
| 1308 |
+
"epoch": 1.19008,
|
| 1309 |
+
"grad_norm": 2.65625,
|
| 1310 |
+
"learning_rate": 1.06448247689361e-05,
|
| 1311 |
+
"loss": 0.9998,
|
| 1312 |
+
"step": 1860
|
| 1313 |
+
},
|
| 1314 |
+
{
|
| 1315 |
+
"epoch": 1.19648,
|
| 1316 |
+
"grad_norm": 1.9453125,
|
| 1317 |
+
"learning_rate": 1.050023868402509e-05,
|
| 1318 |
+
"loss": 0.9979,
|
| 1319 |
+
"step": 1870
|
| 1320 |
+
},
|
| 1321 |
+
{
|
| 1322 |
+
"epoch": 1.20288,
|
| 1323 |
+
"grad_norm": 2.078125,
|
| 1324 |
+
"learning_rate": 1.035611058102322e-05,
|
| 1325 |
+
"loss": 0.9595,
|
| 1326 |
+
"step": 1880
|
| 1327 |
+
},
|
| 1328 |
+
{
|
| 1329 |
+
"epoch": 1.20928,
|
| 1330 |
+
"grad_norm": 1.6953125,
|
| 1331 |
+
"learning_rate": 1.0212455129167196e-05,
|
| 1332 |
+
"loss": 1.0216,
|
| 1333 |
+
"step": 1890
|
| 1334 |
+
},
|
| 1335 |
+
{
|
| 1336 |
+
"epoch": 1.21568,
|
| 1337 |
+
"grad_norm": 3.015625,
|
| 1338 |
+
"learning_rate": 1.0069286949587653e-05,
|
| 1339 |
+
"loss": 0.9082,
|
| 1340 |
+
"step": 1900
|
| 1341 |
+
},
|
| 1342 |
+
{
|
| 1343 |
+
"epoch": 1.22208,
|
| 1344 |
+
"grad_norm": 2.0625,
|
| 1345 |
+
"learning_rate": 9.926620613821094e-06,
|
| 1346 |
+
"loss": 0.9402,
|
| 1347 |
+
"step": 1910
|
| 1348 |
+
},
|
| 1349 |
+
{
|
| 1350 |
+
"epoch": 1.22848,
|
| 1351 |
+
"grad_norm": 3.015625,
|
| 1352 |
+
"learning_rate": 9.784470642326767e-06,
|
| 1353 |
+
"loss": 1.0484,
|
| 1354 |
+
"step": 1920
|
| 1355 |
+
},
|
| 1356 |
+
{
|
| 1357 |
+
"epoch": 1.23488,
|
| 1358 |
+
"grad_norm": 2.359375,
|
| 1359 |
+
"learning_rate": 9.642851503008788e-06,
|
| 1360 |
+
"loss": 1.0093,
|
| 1361 |
+
"step": 1930
|
| 1362 |
+
},
|
| 1363 |
+
{
|
| 1364 |
+
"epoch": 1.24128,
|
| 1365 |
+
"grad_norm": 1.6640625,
|
| 1366 |
+
"learning_rate": 9.50177760974366e-06,
|
| 1367 |
+
"loss": 0.9979,
|
| 1368 |
+
"step": 1940
|
| 1369 |
+
},
|
| 1370 |
+
{
|
| 1371 |
+
"epoch": 1.24768,
|
| 1372 |
+
"grad_norm": 2.265625,
|
| 1373 |
+
"learning_rate": 9.361263320913159e-06,
|
| 1374 |
+
"loss": 0.957,
|
| 1375 |
+
"step": 1950
|
| 1376 |
+
},
|
| 1377 |
+
{
|
| 1378 |
+
"epoch": 1.25408,
|
| 1379 |
+
"grad_norm": 2.140625,
|
| 1380 |
+
"learning_rate": 9.22132293794303e-06,
|
| 1381 |
+
"loss": 1.0589,
|
| 1382 |
+
"step": 1960
|
| 1383 |
+
},
|
| 1384 |
+
{
|
| 1385 |
+
"epoch": 1.26048,
|
| 1386 |
+
"grad_norm": 1.96875,
|
| 1387 |
+
"learning_rate": 9.081970703847344e-06,
|
| 1388 |
+
"loss": 1.0065,
|
| 1389 |
+
"step": 1970
|
| 1390 |
+
},
|
| 1391 |
+
{
|
| 1392 |
+
"epoch": 1.26688,
|
| 1393 |
+
"grad_norm": 2.421875,
|
| 1394 |
+
"learning_rate": 8.943220801778871e-06,
|
| 1395 |
+
"loss": 0.9914,
|
| 1396 |
+
"step": 1980
|
| 1397 |
+
},
|
| 1398 |
+
{
|
| 1399 |
+
"epoch": 1.27328,
|
| 1400 |
+
"grad_norm": 1.8984375,
|
| 1401 |
+
"learning_rate": 8.805087353585561e-06,
|
| 1402 |
+
"loss": 0.9532,
|
| 1403 |
+
"step": 1990
|
| 1404 |
+
},
|
| 1405 |
+
{
|
| 1406 |
+
"epoch": 1.27968,
|
| 1407 |
+
"grad_norm": 2.1875,
|
| 1408 |
+
"learning_rate": 8.667584418373177e-06,
|
| 1409 |
+
"loss": 0.961,
|
| 1410 |
+
"step": 2000
|
| 1411 |
+
},
|
| 1412 |
+
{
|
| 1413 |
+
"epoch": 1.2860800000000001,
|
| 1414 |
+
"grad_norm": 1.984375,
|
| 1415 |
+
"learning_rate": 8.530725991074432e-06,
|
| 1416 |
+
"loss": 0.9762,
|
| 1417 |
+
"step": 2010
|
| 1418 |
+
},
|
| 1419 |
+
{
|
| 1420 |
+
"epoch": 1.29248,
|
| 1421 |
+
"grad_norm": 2.171875,
|
| 1422 |
+
"learning_rate": 8.39452600102455e-06,
|
| 1423 |
+
"loss": 1.045,
|
| 1424 |
+
"step": 2020
|
| 1425 |
+
},
|
| 1426 |
+
{
|
| 1427 |
+
"epoch": 1.29888,
|
| 1428 |
+
"grad_norm": 2.15625,
|
| 1429 |
+
"learning_rate": 8.25899831054357e-06,
|
| 1430 |
+
"loss": 0.9369,
|
| 1431 |
+
"step": 2030
|
| 1432 |
+
},
|
| 1433 |
+
{
|
| 1434 |
+
"epoch": 1.30528,
|
| 1435 |
+
"grad_norm": 2.953125,
|
| 1436 |
+
"learning_rate": 8.124156713525451e-06,
|
| 1437 |
+
"loss": 0.9506,
|
| 1438 |
+
"step": 2040
|
| 1439 |
+
},
|
| 1440 |
+
{
|
| 1441 |
+
"epoch": 1.31168,
|
| 1442 |
+
"grad_norm": 2.625,
|
| 1443 |
+
"learning_rate": 7.990014934034132e-06,
|
| 1444 |
+
"loss": 0.9693,
|
| 1445 |
+
"step": 2050
|
| 1446 |
+
},
|
| 1447 |
+
{
|
| 1448 |
+
"epoch": 1.31808,
|
| 1449 |
+
"grad_norm": 1.703125,
|
| 1450 |
+
"learning_rate": 7.856586624906731e-06,
|
| 1451 |
+
"loss": 0.9546,
|
| 1452 |
+
"step": 2060
|
| 1453 |
+
},
|
| 1454 |
+
{
|
| 1455 |
+
"epoch": 1.3244799999999999,
|
| 1456 |
+
"grad_norm": 1.625,
|
| 1457 |
+
"learning_rate": 7.723885366363937e-06,
|
| 1458 |
+
"loss": 0.9469,
|
| 1459 |
+
"step": 2070
|
| 1460 |
+
},
|
| 1461 |
+
{
|
| 1462 |
+
"epoch": 1.33088,
|
| 1463 |
+
"grad_norm": 2.390625,
|
| 1464 |
+
"learning_rate": 7.591924664627853e-06,
|
| 1465 |
+
"loss": 1.0108,
|
| 1466 |
+
"step": 2080
|
| 1467 |
+
},
|
| 1468 |
+
{
|
| 1469 |
+
"epoch": 1.33728,
|
| 1470 |
+
"grad_norm": 2.203125,
|
| 1471 |
+
"learning_rate": 7.460717950547333e-06,
|
| 1472 |
+
"loss": 0.9485,
|
| 1473 |
+
"step": 2090
|
| 1474 |
+
},
|
| 1475 |
+
{
|
| 1476 |
+
"epoch": 1.34368,
|
| 1477 |
+
"grad_norm": 2.875,
|
| 1478 |
+
"learning_rate": 7.330278578230995e-06,
|
| 1479 |
+
"loss": 0.9319,
|
| 1480 |
+
"step": 2100
|
| 1481 |
+
},
|
| 1482 |
+
{
|
| 1483 |
+
"epoch": 1.35008,
|
| 1484 |
+
"grad_norm": 2.453125,
|
| 1485 |
+
"learning_rate": 7.200619823688085e-06,
|
| 1486 |
+
"loss": 0.9649,
|
| 1487 |
+
"step": 2110
|
| 1488 |
+
},
|
| 1489 |
+
{
|
| 1490 |
+
"epoch": 1.35648,
|
| 1491 |
+
"grad_norm": 2.140625,
|
| 1492 |
+
"learning_rate": 7.071754883477204e-06,
|
| 1493 |
+
"loss": 0.8863,
|
| 1494 |
+
"step": 2120
|
| 1495 |
+
},
|
| 1496 |
+
{
|
| 1497 |
+
"epoch": 1.36288,
|
| 1498 |
+
"grad_norm": 2.53125,
|
| 1499 |
+
"learning_rate": 6.943696873363214e-06,
|
| 1500 |
+
"loss": 0.9181,
|
| 1501 |
+
"step": 2130
|
| 1502 |
+
},
|
| 1503 |
+
{
|
| 1504 |
+
"epoch": 1.36928,
|
| 1505 |
+
"grad_norm": 2.65625,
|
| 1506 |
+
"learning_rate": 6.816458826982305e-06,
|
| 1507 |
+
"loss": 0.9467,
|
| 1508 |
+
"step": 2140
|
| 1509 |
+
},
|
| 1510 |
+
{
|
| 1511 |
+
"epoch": 1.37568,
|
| 1512 |
+
"grad_norm": 2.046875,
|
| 1513 |
+
"learning_rate": 6.690053694515455e-06,
|
| 1514 |
+
"loss": 0.9795,
|
| 1515 |
+
"step": 2150
|
| 1516 |
+
},
|
| 1517 |
+
{
|
| 1518 |
+
"epoch": 1.38208,
|
| 1519 |
+
"grad_norm": 1.7578125,
|
| 1520 |
+
"learning_rate": 6.564494341370372e-06,
|
| 1521 |
+
"loss": 1.011,
|
| 1522 |
+
"step": 2160
|
| 1523 |
+
},
|
| 1524 |
+
{
|
| 1525 |
+
"epoch": 1.38848,
|
| 1526 |
+
"grad_norm": 2.4375,
|
| 1527 |
+
"learning_rate": 6.4397935468720524e-06,
|
| 1528 |
+
"loss": 0.9757,
|
| 1529 |
+
"step": 2170
|
| 1530 |
+
},
|
| 1531 |
+
{
|
| 1532 |
+
"epoch": 1.3948800000000001,
|
| 1533 |
+
"grad_norm": 1.8984375,
|
| 1534 |
+
"learning_rate": 6.315964002962113e-06,
|
| 1535 |
+
"loss": 1.0207,
|
| 1536 |
+
"step": 2180
|
| 1537 |
+
},
|
| 1538 |
+
{
|
| 1539 |
+
"epoch": 1.40128,
|
| 1540 |
+
"grad_norm": 3.34375,
|
| 1541 |
+
"learning_rate": 6.193018312907032e-06,
|
| 1542 |
+
"loss": 0.9519,
|
| 1543 |
+
"step": 2190
|
| 1544 |
+
},
|
| 1545 |
+
{
|
| 1546 |
+
"epoch": 1.40768,
|
| 1547 |
+
"grad_norm": 1.9609375,
|
| 1548 |
+
"learning_rate": 6.070968990015372e-06,
|
| 1549 |
+
"loss": 1.0672,
|
| 1550 |
+
"step": 2200
|
| 1551 |
+
},
|
| 1552 |
+
{
|
| 1553 |
+
"epoch": 1.41408,
|
| 1554 |
+
"grad_norm": 2.421875,
|
| 1555 |
+
"learning_rate": 5.949828456364229e-06,
|
| 1556 |
+
"loss": 1.023,
|
| 1557 |
+
"step": 2210
|
| 1558 |
+
},
|
| 1559 |
+
{
|
| 1560 |
+
"epoch": 1.42048,
|
| 1561 |
+
"grad_norm": 2.46875,
|
| 1562 |
+
"learning_rate": 5.829609041534874e-06,
|
| 1563 |
+
"loss": 1.0135,
|
| 1564 |
+
"step": 2220
|
| 1565 |
+
},
|
| 1566 |
+
{
|
| 1567 |
+
"epoch": 1.42688,
|
| 1568 |
+
"grad_norm": 2.265625,
|
| 1569 |
+
"learning_rate": 5.710322981357886e-06,
|
| 1570 |
+
"loss": 0.9879,
|
| 1571 |
+
"step": 2230
|
| 1572 |
+
},
|
| 1573 |
+
{
|
| 1574 |
+
"epoch": 1.4332799999999999,
|
| 1575 |
+
"grad_norm": 1.75,
|
| 1576 |
+
"learning_rate": 5.591982416667802e-06,
|
| 1577 |
+
"loss": 1.0821,
|
| 1578 |
+
"step": 2240
|
| 1579 |
+
},
|
| 1580 |
+
{
|
| 1581 |
+
"epoch": 1.43968,
|
| 1582 |
+
"grad_norm": 2.3125,
|
| 1583 |
+
"learning_rate": 5.474599392067413e-06,
|
| 1584 |
+
"loss": 1.031,
|
| 1585 |
+
"step": 2250
|
| 1586 |
+
},
|
| 1587 |
+
{
|
| 1588 |
+
"epoch": 1.44608,
|
| 1589 |
+
"grad_norm": 2.21875,
|
| 1590 |
+
"learning_rate": 5.3581858547019095e-06,
|
| 1591 |
+
"loss": 1.0214,
|
| 1592 |
+
"step": 2260
|
| 1593 |
+
},
|
| 1594 |
+
{
|
| 1595 |
+
"epoch": 1.45248,
|
| 1596 |
+
"grad_norm": 2.609375,
|
| 1597 |
+
"learning_rate": 5.242753653042872e-06,
|
| 1598 |
+
"loss": 0.967,
|
| 1599 |
+
"step": 2270
|
| 1600 |
+
},
|
| 1601 |
+
{
|
| 1602 |
+
"epoch": 1.45888,
|
| 1603 |
+
"grad_norm": 1.765625,
|
| 1604 |
+
"learning_rate": 5.128314535682366e-06,
|
| 1605 |
+
"loss": 0.9439,
|
| 1606 |
+
"step": 2280
|
| 1607 |
+
},
|
| 1608 |
+
{
|
| 1609 |
+
"epoch": 1.46528,
|
| 1610 |
+
"grad_norm": 1.6640625,
|
| 1611 |
+
"learning_rate": 5.014880150137175e-06,
|
| 1612 |
+
"loss": 0.9451,
|
| 1613 |
+
"step": 2290
|
| 1614 |
+
},
|
| 1615 |
+
{
|
| 1616 |
+
"epoch": 1.47168,
|
| 1617 |
+
"grad_norm": 2.203125,
|
| 1618 |
+
"learning_rate": 4.902462041663321e-06,
|
| 1619 |
+
"loss": 1.0129,
|
| 1620 |
+
"step": 2300
|
| 1621 |
+
},
|
| 1622 |
+
{
|
| 1623 |
+
"epoch": 1.47808,
|
| 1624 |
+
"grad_norm": 2.234375,
|
| 1625 |
+
"learning_rate": 4.7910716520810185e-06,
|
| 1626 |
+
"loss": 1.0104,
|
| 1627 |
+
"step": 2310
|
| 1628 |
+
},
|
| 1629 |
+
{
|
| 1630 |
+
"epoch": 1.48448,
|
| 1631 |
+
"grad_norm": 1.6953125,
|
| 1632 |
+
"learning_rate": 4.680720318610107e-06,
|
| 1633 |
+
"loss": 0.9509,
|
| 1634 |
+
"step": 2320
|
| 1635 |
+
},
|
| 1636 |
+
{
|
| 1637 |
+
"epoch": 1.49088,
|
| 1638 |
+
"grad_norm": 2.25,
|
| 1639 |
+
"learning_rate": 4.571419272716175e-06,
|
| 1640 |
+
"loss": 1.0345,
|
| 1641 |
+
"step": 2330
|
| 1642 |
+
},
|
| 1643 |
+
{
|
| 1644 |
+
"epoch": 1.49728,
|
| 1645 |
+
"grad_norm": 2.390625,
|
| 1646 |
+
"learning_rate": 4.463179638967428e-06,
|
| 1647 |
+
"loss": 1.0448,
|
| 1648 |
+
"step": 2340
|
| 1649 |
+
},
|
| 1650 |
+
{
|
| 1651 |
+
"epoch": 1.5036800000000001,
|
| 1652 |
+
"grad_norm": 2.828125,
|
| 1653 |
+
"learning_rate": 4.356012433902436e-06,
|
| 1654 |
+
"loss": 1.0301,
|
| 1655 |
+
"step": 2350
|
| 1656 |
+
},
|
| 1657 |
+
{
|
| 1658 |
+
"epoch": 1.5100799999999999,
|
| 1659 |
+
"grad_norm": 1.671875,
|
| 1660 |
+
"learning_rate": 4.249928564908896e-06,
|
| 1661 |
+
"loss": 1.0551,
|
| 1662 |
+
"step": 2360
|
| 1663 |
+
},
|
| 1664 |
+
{
|
| 1665 |
+
"epoch": 1.51648,
|
| 1666 |
+
"grad_norm": 2.515625,
|
| 1667 |
+
"learning_rate": 4.144938829113458e-06,
|
| 1668 |
+
"loss": 1.0107,
|
| 1669 |
+
"step": 2370
|
| 1670 |
+
},
|
| 1671 |
+
{
|
| 1672 |
+
"epoch": 1.52288,
|
| 1673 |
+
"grad_norm": 2.5625,
|
| 1674 |
+
"learning_rate": 4.0410539122828275e-06,
|
| 1675 |
+
"loss": 0.9923,
|
| 1676 |
+
"step": 2380
|
| 1677 |
+
},
|
| 1678 |
+
{
|
| 1679 |
+
"epoch": 1.52928,
|
| 1680 |
+
"grad_norm": 2.09375,
|
| 1681 |
+
"learning_rate": 3.938284387736164e-06,
|
| 1682 |
+
"loss": 0.9977,
|
| 1683 |
+
"step": 2390
|
| 1684 |
+
},
|
| 1685 |
+
{
|
| 1686 |
+
"epoch": 1.5356800000000002,
|
| 1687 |
+
"grad_norm": 2.046875,
|
| 1688 |
+
"learning_rate": 3.8366407152689374e-06,
|
| 1689 |
+
"loss": 1.0079,
|
| 1690 |
+
"step": 2400
|
| 1691 |
+
},
|
| 1692 |
+
{
|
| 1693 |
+
"epoch": 1.54208,
|
| 1694 |
+
"grad_norm": 1.7890625,
|
| 1695 |
+
"learning_rate": 3.7361332400883608e-06,
|
| 1696 |
+
"loss": 1.0236,
|
| 1697 |
+
"step": 2410
|
| 1698 |
+
},
|
| 1699 |
+
{
|
| 1700 |
+
"epoch": 1.54848,
|
| 1701 |
+
"grad_norm": 1.796875,
|
| 1702 |
+
"learning_rate": 3.636772191760427e-06,
|
| 1703 |
+
"loss": 0.9698,
|
| 1704 |
+
"step": 2420
|
| 1705 |
+
},
|
| 1706 |
+
{
|
| 1707 |
+
"epoch": 1.55488,
|
| 1708 |
+
"grad_norm": 1.9453125,
|
| 1709 |
+
"learning_rate": 3.53856768316878e-06,
|
| 1710 |
+
"loss": 1.0645,
|
| 1711 |
+
"step": 2430
|
| 1712 |
+
},
|
| 1713 |
+
{
|
| 1714 |
+
"epoch": 1.56128,
|
| 1715 |
+
"grad_norm": 2.640625,
|
| 1716 |
+
"learning_rate": 3.441529709485424e-06,
|
| 1717 |
+
"loss": 0.9716,
|
| 1718 |
+
"step": 2440
|
| 1719 |
+
},
|
| 1720 |
+
{
|
| 1721 |
+
"epoch": 1.56768,
|
| 1722 |
+
"grad_norm": 2.609375,
|
| 1723 |
+
"learning_rate": 3.3456681471534207e-06,
|
| 1724 |
+
"loss": 0.9717,
|
| 1725 |
+
"step": 2450
|
| 1726 |
+
},
|
| 1727 |
+
{
|
| 1728 |
+
"epoch": 1.57408,
|
| 1729 |
+
"grad_norm": 1.953125,
|
| 1730 |
+
"learning_rate": 3.2509927528816896e-06,
|
| 1731 |
+
"loss": 1.0421,
|
| 1732 |
+
"step": 2460
|
| 1733 |
+
},
|
| 1734 |
+
{
|
| 1735 |
+
"epoch": 1.58048,
|
| 1736 |
+
"grad_norm": 1.8515625,
|
| 1737 |
+
"learning_rate": 3.1575131626519553e-06,
|
| 1738 |
+
"loss": 1.0386,
|
| 1739 |
+
"step": 2470
|
| 1740 |
+
},
|
| 1741 |
+
{
|
| 1742 |
+
"epoch": 1.5868799999999998,
|
| 1743 |
+
"grad_norm": 1.8828125,
|
| 1744 |
+
"learning_rate": 3.0652388907380187e-06,
|
| 1745 |
+
"loss": 0.9578,
|
| 1746 |
+
"step": 2480
|
| 1747 |
+
},
|
| 1748 |
+
{
|
| 1749 |
+
"epoch": 1.59328,
|
| 1750 |
+
"grad_norm": 2.515625,
|
| 1751 |
+
"learning_rate": 2.9741793287373987e-06,
|
| 1752 |
+
"loss": 0.9847,
|
| 1753 |
+
"step": 2490
|
| 1754 |
+
},
|
| 1755 |
+
{
|
| 1756 |
+
"epoch": 1.59968,
|
| 1757 |
+
"grad_norm": 2.78125,
|
| 1758 |
+
"learning_rate": 2.8843437446154625e-06,
|
| 1759 |
+
"loss": 1.0303,
|
| 1760 |
+
"step": 2500
|
| 1761 |
+
},
|
| 1762 |
+
{
|
| 1763 |
+
"epoch": 1.60608,
|
| 1764 |
+
"grad_norm": 2.34375,
|
| 1765 |
+
"learning_rate": 2.795741281762152e-06,
|
| 1766 |
+
"loss": 0.944,
|
| 1767 |
+
"step": 2510
|
| 1768 |
+
},
|
| 1769 |
+
{
|
| 1770 |
+
"epoch": 1.6124800000000001,
|
| 1771 |
+
"grad_norm": 1.7734375,
|
| 1772 |
+
"learning_rate": 2.708380958061358e-06,
|
| 1773 |
+
"loss": 1.0533,
|
| 1774 |
+
"step": 2520
|
| 1775 |
+
},
|
| 1776 |
+
{
|
| 1777 |
+
"epoch": 1.6188799999999999,
|
| 1778 |
+
"grad_norm": 1.7265625,
|
| 1779 |
+
"learning_rate": 2.6222716649730964e-06,
|
| 1780 |
+
"loss": 0.9802,
|
| 1781 |
+
"step": 2530
|
| 1782 |
+
},
|
| 1783 |
+
{
|
| 1784 |
+
"epoch": 1.62528,
|
| 1785 |
+
"grad_norm": 1.75,
|
| 1786 |
+
"learning_rate": 2.5374221666285474e-06,
|
| 1787 |
+
"loss": 0.9677,
|
| 1788 |
+
"step": 2540
|
| 1789 |
+
},
|
| 1790 |
+
{
|
| 1791 |
+
"epoch": 1.63168,
|
| 1792 |
+
"grad_norm": 1.859375,
|
| 1793 |
+
"learning_rate": 2.4538410989380394e-06,
|
| 1794 |
+
"loss": 1.0376,
|
| 1795 |
+
"step": 2550
|
| 1796 |
+
},
|
| 1797 |
+
{
|
| 1798 |
+
"epoch": 1.63808,
|
| 1799 |
+
"grad_norm": 2.546875,
|
| 1800 |
+
"learning_rate": 2.3715369687121103e-06,
|
| 1801 |
+
"loss": 0.9554,
|
| 1802 |
+
"step": 2560
|
| 1803 |
+
},
|
| 1804 |
+
{
|
| 1805 |
+
"epoch": 1.6444800000000002,
|
| 1806 |
+
"grad_norm": 2.609375,
|
| 1807 |
+
"learning_rate": 2.2905181527956694e-06,
|
| 1808 |
+
"loss": 0.9778,
|
| 1809 |
+
"step": 2570
|
| 1810 |
+
},
|
| 1811 |
+
{
|
| 1812 |
+
"epoch": 1.65088,
|
| 1813 |
+
"grad_norm": 2.125,
|
| 1814 |
+
"learning_rate": 2.2107928972154264e-06,
|
| 1815 |
+
"loss": 1.0311,
|
| 1816 |
+
"step": 2580
|
| 1817 |
+
},
|
| 1818 |
+
{
|
| 1819 |
+
"epoch": 1.65728,
|
| 1820 |
+
"grad_norm": 1.9765625,
|
| 1821 |
+
"learning_rate": 2.132369316340608e-06,
|
| 1822 |
+
"loss": 0.9612,
|
| 1823 |
+
"step": 2590
|
| 1824 |
+
},
|
| 1825 |
+
{
|
| 1826 |
+
"epoch": 1.66368,
|
| 1827 |
+
"grad_norm": 2.15625,
|
| 1828 |
+
"learning_rate": 2.0552553920570862e-06,
|
| 1829 |
+
"loss": 0.9553,
|
| 1830 |
+
"step": 2600
|
| 1831 |
+
},
|
| 1832 |
+
{
|
| 1833 |
+
"epoch": 1.67008,
|
| 1834 |
+
"grad_norm": 2.609375,
|
| 1835 |
+
"learning_rate": 1.9794589729550022e-06,
|
| 1836 |
+
"loss": 0.9915,
|
| 1837 |
+
"step": 2610
|
| 1838 |
+
},
|
| 1839 |
+
{
|
| 1840 |
+
"epoch": 1.67648,
|
| 1841 |
+
"grad_norm": 1.7734375,
|
| 1842 |
+
"learning_rate": 1.9049877735299203e-06,
|
| 1843 |
+
"loss": 0.9905,
|
| 1844 |
+
"step": 2620
|
| 1845 |
+
},
|
| 1846 |
+
{
|
| 1847 |
+
"epoch": 1.68288,
|
| 1848 |
+
"grad_norm": 1.8125,
|
| 1849 |
+
"learning_rate": 1.8318493733976672e-06,
|
| 1850 |
+
"loss": 0.9517,
|
| 1851 |
+
"step": 2630
|
| 1852 |
+
},
|
| 1853 |
+
{
|
| 1854 |
+
"epoch": 1.6892800000000001,
|
| 1855 |
+
"grad_norm": 1.6484375,
|
| 1856 |
+
"learning_rate": 1.760051216522882e-06,
|
| 1857 |
+
"loss": 1.0555,
|
| 1858 |
+
"step": 2640
|
| 1859 |
+
},
|
| 1860 |
+
{
|
| 1861 |
+
"epoch": 1.6956799999999999,
|
| 1862 |
+
"grad_norm": 1.828125,
|
| 1863 |
+
"learning_rate": 1.6896006104613759e-06,
|
| 1864 |
+
"loss": 0.9605,
|
| 1865 |
+
"step": 2650
|
| 1866 |
+
},
|
| 1867 |
+
{
|
| 1868 |
+
"epoch": 1.70208,
|
| 1869 |
+
"grad_norm": 1.984375,
|
| 1870 |
+
"learning_rate": 1.6205047256163813e-06,
|
| 1871 |
+
"loss": 0.9612,
|
| 1872 |
+
"step": 2660
|
| 1873 |
+
},
|
| 1874 |
+
{
|
| 1875 |
+
"epoch": 1.70848,
|
| 1876 |
+
"grad_norm": 2.578125,
|
| 1877 |
+
"learning_rate": 1.5527705945087422e-06,
|
| 1878 |
+
"loss": 1.0219,
|
| 1879 |
+
"step": 2670
|
| 1880 |
+
},
|
| 1881 |
+
{
|
| 1882 |
+
"epoch": 1.71488,
|
| 1883 |
+
"grad_norm": 2.25,
|
| 1884 |
+
"learning_rate": 1.4864051110611565e-06,
|
| 1885 |
+
"loss": 1.019,
|
| 1886 |
+
"step": 2680
|
| 1887 |
+
},
|
| 1888 |
+
{
|
| 1889 |
+
"epoch": 1.7212800000000001,
|
| 1890 |
+
"grad_norm": 1.75,
|
| 1891 |
+
"learning_rate": 1.4214150298965217e-06,
|
| 1892 |
+
"loss": 1.0037,
|
| 1893 |
+
"step": 2690
|
| 1894 |
+
},
|
| 1895 |
+
{
|
| 1896 |
+
"epoch": 1.7276799999999999,
|
| 1897 |
+
"grad_norm": 2.078125,
|
| 1898 |
+
"learning_rate": 1.357806965650447e-06,
|
| 1899 |
+
"loss": 0.9484,
|
| 1900 |
+
"step": 2700
|
| 1901 |
+
},
|
| 1902 |
+
{
|
| 1903 |
+
"epoch": 1.73408,
|
| 1904 |
+
"grad_norm": 1.6796875,
|
| 1905 |
+
"learning_rate": 1.2955873922980355e-06,
|
| 1906 |
+
"loss": 1.052,
|
| 1907 |
+
"step": 2710
|
| 1908 |
+
},
|
| 1909 |
+
{
|
| 1910 |
+
"epoch": 1.74048,
|
| 1911 |
+
"grad_norm": 1.953125,
|
| 1912 |
+
"learning_rate": 1.2347626424949483e-06,
|
| 1913 |
+
"loss": 1.0051,
|
| 1914 |
+
"step": 2720
|
| 1915 |
+
},
|
| 1916 |
+
{
|
| 1917 |
+
"epoch": 1.74688,
|
| 1918 |
+
"grad_norm": 2.609375,
|
| 1919 |
+
"learning_rate": 1.1753389069328862e-06,
|
| 1920 |
+
"loss": 0.9812,
|
| 1921 |
+
"step": 2730
|
| 1922 |
+
},
|
| 1923 |
+
{
|
| 1924 |
+
"epoch": 1.75328,
|
| 1925 |
+
"grad_norm": 2.1875,
|
| 1926 |
+
"learning_rate": 1.1173222337095074e-06,
|
| 1927 |
+
"loss": 0.9297,
|
| 1928 |
+
"step": 2740
|
| 1929 |
+
},
|
| 1930 |
+
{
|
| 1931 |
+
"epoch": 1.75968,
|
| 1932 |
+
"grad_norm": 2.078125,
|
| 1933 |
+
"learning_rate": 1.0607185277128435e-06,
|
| 1934 |
+
"loss": 0.996,
|
| 1935 |
+
"step": 2750
|
| 1936 |
+
},
|
| 1937 |
+
{
|
| 1938 |
+
"epoch": 1.76608,
|
| 1939 |
+
"grad_norm": 2.078125,
|
| 1940 |
+
"learning_rate": 1.0055335500203278e-06,
|
| 1941 |
+
"loss": 0.9412,
|
| 1942 |
+
"step": 2760
|
| 1943 |
+
},
|
| 1944 |
+
{
|
| 1945 |
+
"epoch": 1.77248,
|
| 1946 |
+
"grad_norm": 1.6484375,
|
| 1947 |
+
"learning_rate": 9.517729173124095e-07,
|
| 1948 |
+
"loss": 1.0159,
|
| 1949 |
+
"step": 2770
|
| 1950 |
+
},
|
| 1951 |
+
{
|
| 1952 |
+
"epoch": 1.77888,
|
| 1953 |
+
"grad_norm": 1.875,
|
| 1954 |
+
"learning_rate": 8.994421013009191e-07,
|
| 1955 |
+
"loss": 0.9885,
|
| 1956 |
+
"step": 2780
|
| 1957 |
+
},
|
| 1958 |
+
{
|
| 1959 |
+
"epoch": 1.78528,
|
| 1960 |
+
"grad_norm": 2.265625,
|
| 1961 |
+
"learning_rate": 8.485464281721416e-07,
|
| 1962 |
+
"loss": 1.1004,
|
| 1963 |
+
"step": 2790
|
| 1964 |
+
},
|
| 1965 |
+
{
|
| 1966 |
+
"epoch": 1.79168,
|
| 1967 |
+
"grad_norm": 1.828125,
|
| 1968 |
+
"learning_rate": 7.990910780447347e-07,
|
| 1969 |
+
"loss": 0.9443,
|
| 1970 |
+
"step": 2800
|
| 1971 |
+
},
|
| 1972 |
+
{
|
| 1973 |
+
"epoch": 1.7980800000000001,
|
| 1974 |
+
"grad_norm": 2.734375,
|
| 1975 |
+
"learning_rate": 7.510810844425009e-07,
|
| 1976 |
+
"loss": 0.945,
|
| 1977 |
+
"step": 2810
|
| 1978 |
+
},
|
| 1979 |
+
{
|
| 1980 |
+
"epoch": 1.8044799999999999,
|
| 1981 |
+
"grad_norm": 2.015625,
|
| 1982 |
+
"learning_rate": 7.045213337820633e-07,
|
| 1983 |
+
"loss": 1.1081,
|
| 1984 |
+
"step": 2820
|
| 1985 |
+
},
|
| 1986 |
+
{
|
| 1987 |
+
"epoch": 1.81088,
|
| 1988 |
+
"grad_norm": 2.71875,
|
| 1989 |
+
"learning_rate": 6.594165648755562e-07,
|
| 1990 |
+
"loss": 1.0107,
|
| 1991 |
+
"step": 2830
|
| 1992 |
+
},
|
| 1993 |
+
{
|
| 1994 |
+
"epoch": 1.81728,
|
| 1995 |
+
"grad_norm": 2.421875,
|
| 1996 |
+
"learning_rate": 6.157713684482896e-07,
|
| 1997 |
+
"loss": 1.0491,
|
| 1998 |
+
"step": 2840
|
| 1999 |
+
},
|
| 2000 |
+
{
|
| 2001 |
+
"epoch": 1.82368,
|
| 2002 |
+
"grad_norm": 1.953125,
|
| 2003 |
+
"learning_rate": 5.735901866715243e-07,
|
| 2004 |
+
"loss": 0.9906,
|
| 2005 |
+
"step": 2850
|
| 2006 |
+
},
|
| 2007 |
+
{
|
| 2008 |
+
"epoch": 1.8300800000000002,
|
| 2009 |
+
"grad_norm": 2.234375,
|
| 2010 |
+
"learning_rate": 5.328773127103403e-07,
|
| 2011 |
+
"loss": 1.0141,
|
| 2012 |
+
"step": 2860
|
| 2013 |
+
},
|
| 2014 |
+
{
|
| 2015 |
+
"epoch": 1.83648,
|
| 2016 |
+
"grad_norm": 1.671875,
|
| 2017 |
+
"learning_rate": 4.936368902866884e-07,
|
| 2018 |
+
"loss": 0.9968,
|
| 2019 |
+
"step": 2870
|
| 2020 |
+
},
|
| 2021 |
+
{
|
| 2022 |
+
"epoch": 1.84288,
|
| 2023 |
+
"grad_norm": 1.7734375,
|
| 2024 |
+
"learning_rate": 4.5587291325764667e-07,
|
| 2025 |
+
"loss": 0.9854,
|
| 2026 |
+
"step": 2880
|
| 2027 |
+
},
|
| 2028 |
+
{
|
| 2029 |
+
"epoch": 1.84928,
|
| 2030 |
+
"grad_norm": 1.6484375,
|
| 2031 |
+
"learning_rate": 4.195892252089267e-07,
|
| 2032 |
+
"loss": 1.0206,
|
| 2033 |
+
"step": 2890
|
| 2034 |
+
},
|
| 2035 |
+
{
|
| 2036 |
+
"epoch": 1.85568,
|
| 2037 |
+
"grad_norm": 2.3125,
|
| 2038 |
+
"learning_rate": 3.8478951906367744e-07,
|
| 2039 |
+
"loss": 0.9919,
|
| 2040 |
+
"step": 2900
|
| 2041 |
+
},
|
| 2042 |
+
{
|
| 2043 |
+
"epoch": 1.86208,
|
| 2044 |
+
"grad_norm": 2.234375,
|
| 2045 |
+
"learning_rate": 3.51477336706621e-07,
|
| 2046 |
+
"loss": 1.0347,
|
| 2047 |
+
"step": 2910
|
| 2048 |
+
},
|
| 2049 |
+
{
|
| 2050 |
+
"epoch": 1.86848,
|
| 2051 |
+
"grad_norm": 1.7421875,
|
| 2052 |
+
"learning_rate": 3.196560686235611e-07,
|
| 2053 |
+
"loss": 0.9982,
|
| 2054 |
+
"step": 2920
|
| 2055 |
+
},
|
| 2056 |
+
{
|
| 2057 |
+
"epoch": 1.87488,
|
| 2058 |
+
"grad_norm": 2.21875,
|
| 2059 |
+
"learning_rate": 2.893289535563093e-07,
|
| 2060 |
+
"loss": 0.978,
|
| 2061 |
+
"step": 2930
|
| 2062 |
+
},
|
| 2063 |
+
{
|
| 2064 |
+
"epoch": 1.8812799999999998,
|
| 2065 |
+
"grad_norm": 2.234375,
|
| 2066 |
+
"learning_rate": 2.6049907817304155e-07,
|
| 2067 |
+
"loss": 0.9441,
|
| 2068 |
+
"step": 2940
|
| 2069 |
+
},
|
| 2070 |
+
{
|
| 2071 |
+
"epoch": 1.88768,
|
| 2072 |
+
"grad_norm": 3.03125,
|
| 2073 |
+
"learning_rate": 2.331693767541432e-07,
|
| 2074 |
+
"loss": 0.9926,
|
| 2075 |
+
"step": 2950
|
| 2076 |
+
},
|
| 2077 |
+
{
|
| 2078 |
+
"epoch": 1.89408,
|
| 2079 |
+
"grad_norm": 1.6015625,
|
| 2080 |
+
"learning_rate": 2.0734263089356276e-07,
|
| 2081 |
+
"loss": 0.9828,
|
| 2082 |
+
"step": 2960
|
| 2083 |
+
},
|
| 2084 |
+
{
|
| 2085 |
+
"epoch": 1.90048,
|
| 2086 |
+
"grad_norm": 2.703125,
|
| 2087 |
+
"learning_rate": 1.830214692156934e-07,
|
| 2088 |
+
"loss": 1.025,
|
| 2089 |
+
"step": 2970
|
| 2090 |
+
},
|
| 2091 |
+
{
|
| 2092 |
+
"epoch": 1.9068800000000001,
|
| 2093 |
+
"grad_norm": 1.84375,
|
| 2094 |
+
"learning_rate": 1.6020836710784692e-07,
|
| 2095 |
+
"loss": 0.9925,
|
| 2096 |
+
"step": 2980
|
| 2097 |
+
},
|
| 2098 |
+
{
|
| 2099 |
+
"epoch": 1.9132799999999999,
|
| 2100 |
+
"grad_norm": 1.9609375,
|
| 2101 |
+
"learning_rate": 1.3890564646830194e-07,
|
| 2102 |
+
"loss": 0.9416,
|
| 2103 |
+
"step": 2990
|
| 2104 |
+
},
|
| 2105 |
+
{
|
| 2106 |
+
"epoch": 1.91968,
|
| 2107 |
+
"grad_norm": 1.921875,
|
| 2108 |
+
"learning_rate": 1.1911547546998636e-07,
|
| 2109 |
+
"loss": 1.0084,
|
| 2110 |
+
"step": 3000
|
| 2111 |
+
},
|
| 2112 |
+
{
|
| 2113 |
+
"epoch": 1.92608,
|
| 2114 |
+
"grad_norm": 2.40625,
|
| 2115 |
+
"learning_rate": 1.008398683398054e-07,
|
| 2116 |
+
"loss": 0.9642,
|
| 2117 |
+
"step": 3010
|
| 2118 |
+
},
|
| 2119 |
+
{
|
| 2120 |
+
"epoch": 1.93248,
|
| 2121 |
+
"grad_norm": 2.34375,
|
| 2122 |
+
"learning_rate": 8.408068515362411e-08,
|
| 2123 |
+
"loss": 1.0143,
|
| 2124 |
+
"step": 3020
|
| 2125 |
+
},
|
| 2126 |
+
{
|
| 2127 |
+
"epoch": 1.9388800000000002,
|
| 2128 |
+
"grad_norm": 2.125,
|
| 2129 |
+
"learning_rate": 6.883963164696527e-08,
|
| 2130 |
+
"loss": 0.9897,
|
| 2131 |
+
"step": 3030
|
| 2132 |
+
},
|
| 2133 |
+
{
|
| 2134 |
+
"epoch": 1.94528,
|
| 2135 |
+
"grad_norm": 2.109375,
|
| 2136 |
+
"learning_rate": 5.5118259041391784e-08,
|
| 2137 |
+
"loss": 0.9477,
|
| 2138 |
+
"step": 3040
|
| 2139 |
+
},
|
| 2140 |
+
{
|
| 2141 |
+
"epoch": 1.95168,
|
| 2142 |
+
"grad_norm": 1.9296875,
|
| 2143 |
+
"learning_rate": 4.291796388662949e-08,
|
| 2144 |
+
"loss": 1.0092,
|
| 2145 |
+
"step": 3050
|
| 2146 |
+
},
|
| 2147 |
+
{
|
| 2148 |
+
"epoch": 1.95808,
|
| 2149 |
+
"grad_norm": 2.046875,
|
| 2150 |
+
"learning_rate": 3.223998791842098e-08,
|
| 2151 |
+
"loss": 1.0761,
|
| 2152 |
+
"step": 3060
|
| 2153 |
+
},
|
| 2154 |
+
{
|
| 2155 |
+
"epoch": 1.96448,
|
| 2156 |
+
"grad_norm": 2.859375,
|
| 2157 |
+
"learning_rate": 2.3085417932148246e-08,
|
| 2158 |
+
"loss": 1.009,
|
| 2159 |
+
"step": 3070
|
| 2160 |
+
},
|
| 2161 |
+
{
|
| 2162 |
+
"epoch": 1.97088,
|
| 2163 |
+
"grad_norm": 1.734375,
|
| 2164 |
+
"learning_rate": 1.5455185672219595e-08,
|
| 2165 |
+
"loss": 0.9905,
|
| 2166 |
+
"step": 3080
|
| 2167 |
+
},
|
| 2168 |
+
{
|
| 2169 |
+
"epoch": 1.97728,
|
| 2170 |
+
"grad_norm": 2.34375,
|
| 2171 |
+
"learning_rate": 9.350067737233791e-09,
|
| 2172 |
+
"loss": 1.0572,
|
| 2173 |
+
"step": 3090
|
| 2174 |
+
},
|
| 2175 |
+
{
|
| 2176 |
+
"epoch": 1.98368,
|
| 2177 |
+
"grad_norm": 2.609375,
|
| 2178 |
+
"learning_rate": 4.7706855009416186e-09,
|
| 2179 |
+
"loss": 0.9107,
|
| 2180 |
+
"step": 3100
|
| 2181 |
+
},
|
| 2182 |
+
{
|
| 2183 |
+
"epoch": 1.9900799999999998,
|
| 2184 |
+
"grad_norm": 2.21875,
|
| 2185 |
+
"learning_rate": 1.717505049003143e-09,
|
| 2186 |
+
"loss": 1.0182,
|
| 2187 |
+
"step": 3110
|
| 2188 |
+
},
|
| 2189 |
+
{
|
| 2190 |
+
"epoch": 1.99648,
|
| 2191 |
+
"grad_norm": 1.9609375,
|
| 2192 |
+
"learning_rate": 1.9083713154732785e-10,
|
| 2193 |
+
"loss": 0.9777,
|
| 2194 |
+
"step": 3120
|
| 2195 |
+
}
|
| 2196 |
+
],
|
| 2197 |
+
"logging_steps": 10,
|
| 2198 |
+
"max_steps": 3124,
|
| 2199 |
+
"num_input_tokens_seen": 0,
|
| 2200 |
+
"num_train_epochs": 2,
|
| 2201 |
+
"save_steps": 500,
|
| 2202 |
+
"stateful_callbacks": {
|
| 2203 |
+
"TrainerControl": {
|
| 2204 |
+
"args": {
|
| 2205 |
+
"should_epoch_stop": false,
|
| 2206 |
+
"should_evaluate": false,
|
| 2207 |
+
"should_log": false,
|
| 2208 |
+
"should_save": true,
|
| 2209 |
+
"should_training_stop": true
|
| 2210 |
+
},
|
| 2211 |
+
"attributes": {}
|
| 2212 |
+
}
|
| 2213 |
+
},
|
| 2214 |
+
"total_flos": 2.9759783028737065e+18,
|
| 2215 |
+
"train_batch_size": 8,
|
| 2216 |
+
"trial_name": null,
|
| 2217 |
+
"trial_params": null
|
| 2218 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2d6f4e87766ba870a680c3fd431812c531c3a7b25a0830b9595b1602dab95217
|
| 3 |
+
size 5969
|
vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|