waleko commited on
Commit
4a93fef
·
verified ·
1 Parent(s): 6a6c0fe

Model save

Browse files
.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
README.md ADDED
@@ -0,0 +1,66 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: transformers
3
+ license: other
4
+ base_model: mistralai/Ministral-8B-Instruct-2410
5
+ tags:
6
+ - llama-factory
7
+ - generated_from_trainer
8
+ metrics:
9
+ - accuracy
10
+ model-index:
11
+ - name: Ministral-8B-Instruct-2410-SFT-envbench_weave_2500
12
+ results: []
13
+ ---
14
+
15
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
16
+ should probably proofread and complete it, then remove this comment. -->
17
+
18
+ # Ministral-8B-Instruct-2410-SFT-envbench_weave_2500
19
+
20
+ This model is a fine-tuned version of [mistralai/Ministral-8B-Instruct-2410](https://huggingface.co/mistralai/Ministral-8B-Instruct-2410) on an unknown dataset.
21
+ It achieves the following results on the evaluation set:
22
+ - Loss: 0.4115
23
+ - Accuracy: 0.8912
24
+ - Num Input Tokens Seen: 87699168
25
+
26
+ ## Model description
27
+
28
+ More information needed
29
+
30
+ ## Intended uses & limitations
31
+
32
+ More information needed
33
+
34
+ ## Training and evaluation data
35
+
36
+ More information needed
37
+
38
+ ## Training procedure
39
+
40
+ ### Training hyperparameters
41
+
42
+ The following hyperparameters were used during training:
43
+ - learning_rate: 5e-05
44
+ - train_batch_size: 4
45
+ - eval_batch_size: 4
46
+ - seed: 42
47
+ - distributed_type: multi-GPU
48
+ - num_devices: 4
49
+ - gradient_accumulation_steps: 4
50
+ - total_train_batch_size: 64
51
+ - total_eval_batch_size: 16
52
+ - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
53
+ - lr_scheduler_type: cosine
54
+ - lr_scheduler_warmup_ratio: 0.1
55
+ - num_epochs: 5.0
56
+
57
+ ### Training results
58
+
59
+
60
+
61
+ ### Framework versions
62
+
63
+ - Transformers 4.52.4
64
+ - Pytorch 2.6.0a0+df5bbc09d1.nv24.12
65
+ - Datasets 3.6.0
66
+ - Tokenizers 0.21.1
chat_template.jinja ADDED
@@ -0,0 +1,87 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {%- if messages[0]["role"] == "system" %}
2
+ {%- set system_message = messages[0]["content"] %}
3
+ {%- set loop_messages = messages[1:] %}
4
+ {%- else %}
5
+ {%- set loop_messages = messages %}
6
+ {%- endif %}
7
+ {%- if not tools is defined %}
8
+ {%- set tools = none %}
9
+ {%- endif %}
10
+ {%- set user_messages = loop_messages | selectattr("role", "equalto", "user") | list %}
11
+
12
+ {#- This block checks for alternating user/assistant messages, skipping tool calling messages #}
13
+ {%- set ns = namespace() %}
14
+ {%- set ns.index = 0 %}
15
+ {%- for message in loop_messages %}
16
+ {%- if not (message.role == "tool" or message.role == "tool_results" or (message.tool_calls is defined and message.tool_calls is not none)) %}
17
+ {%- if (message["role"] == "user") != (ns.index % 2 == 0) %}
18
+ {{- raise_exception("After the optional system message, conversation roles must alternate user/assistant/user/assistant/...") }}
19
+ {%- endif %}
20
+ {%- set ns.index = ns.index + 1 %}
21
+ {%- endif %}
22
+ {%- endfor %}
23
+
24
+ {{- bos_token }}
25
+ {%- for message in loop_messages %}
26
+ {%- if message["role"] == "user" %}
27
+ {%- if tools is not none and (message == user_messages[-1]) %}
28
+ {{- "[AVAILABLE_TOOLS][" }}
29
+ {%- for tool in tools %}
30
+ {%- set tool = tool.function %}
31
+ {{- '{"type": "function", "function": {' }}
32
+ {%- for key, val in tool.items() if key != "return" %}
33
+ {%- if val is string %}
34
+ {{- '"' + key + '": "' + val + '"' }}
35
+ {%- else %}
36
+ {{- '"' + key + '": ' + val|tojson }}
37
+ {%- endif %}
38
+ {%- if not loop.last %}
39
+ {{- ", " }}
40
+ {%- endif %}
41
+ {%- endfor %}
42
+ {{- "}}" }}
43
+ {%- if not loop.last %}
44
+ {{- ", " }}
45
+ {%- else %}
46
+ {{- "]" }}
47
+ {%- endif %}
48
+ {%- endfor %}
49
+ {{- "[/AVAILABLE_TOOLS]" }}
50
+ {%- endif %}
51
+ {%- if loop.last and system_message is defined %}
52
+ {{- "[INST]" + system_message + "\n\n" + message["content"] + "[/INST]" }}
53
+ {%- else %}
54
+ {{- "[INST]" + message["content"] + "[/INST]" }}
55
+ {%- endif %}
56
+ {%- elif (message.tool_calls is defined and message.tool_calls is not none) %}
57
+ {{- "[TOOL_CALLS][" }}
58
+ {%- for tool_call in message.tool_calls %}
59
+ {%- set out = tool_call.function|tojson %}
60
+ {{- out[:-1] }}
61
+ {%- if not tool_call.id is defined or tool_call.id|length != 9 %}
62
+ {{- raise_exception("Tool call IDs should be alphanumeric strings with length 9!") }}
63
+ {%- endif %}
64
+ {{- ', "id": "' + tool_call.id + '"}' }}
65
+ {%- if not loop.last %}
66
+ {{- ", " }}
67
+ {%- else %}
68
+ {{- "]" + eos_token }}
69
+ {%- endif %}
70
+ {%- endfor %}
71
+ {%- elif message["role"] == "assistant" %}
72
+ {{- message["content"] + eos_token}}
73
+ {%- elif message["role"] == "tool_results" or message["role"] == "tool" %}
74
+ {%- if message.content is defined and message.content.content is defined %}
75
+ {%- set content = message.content.content %}
76
+ {%- else %}
77
+ {%- set content = message.content %}
78
+ {%- endif %}
79
+ {{- '[TOOL_RESULTS]{"content": ' + content|string + ", " }}
80
+ {%- if not message.tool_call_id is defined or message.tool_call_id|length != 9 %}
81
+ {{- raise_exception("Tool call IDs should be alphanumeric strings with length 9!") }}
82
+ {%- endif %}
83
+ {{- '"call_id": "' + message.tool_call_id + '"}[/TOOL_RESULTS]' }}
84
+ {%- else %}
85
+ {{- raise_exception("Only user and assistant roles are supported, with the exception of an initial optional system message!") }}
86
+ {%- endif %}
87
+ {%- endfor %}
config.json ADDED
@@ -0,0 +1,64 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "MistralForCausalLM"
4
+ ],
5
+ "attention_dropout": 0.0,
6
+ "bos_token_id": 1,
7
+ "eos_token_id": 2,
8
+ "head_dim": 128,
9
+ "hidden_act": "silu",
10
+ "hidden_size": 4096,
11
+ "initializer_range": 0.02,
12
+ "intermediate_size": 12288,
13
+ "layer_types": [
14
+ "full_attention",
15
+ "sliding_attention",
16
+ "sliding_attention",
17
+ "sliding_attention",
18
+ "full_attention",
19
+ "sliding_attention",
20
+ "sliding_attention",
21
+ "sliding_attention",
22
+ "full_attention",
23
+ "sliding_attention",
24
+ "sliding_attention",
25
+ "sliding_attention",
26
+ "full_attention",
27
+ "sliding_attention",
28
+ "sliding_attention",
29
+ "sliding_attention",
30
+ "full_attention",
31
+ "sliding_attention",
32
+ "sliding_attention",
33
+ "sliding_attention",
34
+ "full_attention",
35
+ "sliding_attention",
36
+ "sliding_attention",
37
+ "sliding_attention",
38
+ "full_attention",
39
+ "sliding_attention",
40
+ "sliding_attention",
41
+ "sliding_attention",
42
+ "full_attention",
43
+ "sliding_attention",
44
+ "sliding_attention",
45
+ "sliding_attention",
46
+ "full_attention",
47
+ "sliding_attention",
48
+ "sliding_attention",
49
+ "sliding_attention"
50
+ ],
51
+ "max_position_embeddings": 32768,
52
+ "model_type": "mistral",
53
+ "num_attention_heads": 32,
54
+ "num_hidden_layers": 36,
55
+ "num_key_value_heads": 8,
56
+ "rms_norm_eps": 1e-05,
57
+ "rope_theta": 100000000.0,
58
+ "sliding_window": 32768,
59
+ "tie_word_embeddings": false,
60
+ "torch_dtype": "bfloat16",
61
+ "transformers_version": "4.52.4",
62
+ "use_cache": false,
63
+ "vocab_size": 131072
64
+ }
generation_config.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 1,
4
+ "eos_token_id": 2,
5
+ "transformers_version": "4.52.4"
6
+ }
model-00001-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b43100279b4a926733ef716fde7237fd10bfc2320c5e46b0d1cf0792a2804f10
3
+ size 4983007904
model-00002-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4488fedf35099dd97b9012af4a10b1111f2f45fc0c9b0027738d48aabf268dd5
3
+ size 4999836776
model-00003-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:85080b2ed21b76a4eed7b46f93d292e7b7b037e0e3a73cb864bbf5ae5071fbab
3
+ size 4983067960
model-00004-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:906fc75a681843383a70521a5f569106c46b2b8bc1896c6e04e37b73dcb01fab
3
+ size 1073741952
model.safetensors.index.json ADDED
@@ -0,0 +1,334 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 16039616512
4
+ },
5
+ "weight_map": {
6
+ "lm_head.weight": "model-00004-of-00004.safetensors",
7
+ "model.embed_tokens.weight": "model-00001-of-00004.safetensors",
8
+ "model.layers.0.input_layernorm.weight": "model-00001-of-00004.safetensors",
9
+ "model.layers.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
10
+ "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
11
+ "model.layers.0.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
12
+ "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
13
+ "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
14
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
15
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
16
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
17
+ "model.layers.1.input_layernorm.weight": "model-00001-of-00004.safetensors",
18
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
19
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
20
+ "model.layers.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
21
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
22
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
23
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
24
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
25
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
26
+ "model.layers.10.input_layernorm.weight": "model-00002-of-00004.safetensors",
27
+ "model.layers.10.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
28
+ "model.layers.10.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
29
+ "model.layers.10.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
30
+ "model.layers.10.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
31
+ "model.layers.10.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
32
+ "model.layers.10.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
33
+ "model.layers.10.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
34
+ "model.layers.10.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
35
+ "model.layers.11.input_layernorm.weight": "model-00002-of-00004.safetensors",
36
+ "model.layers.11.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
37
+ "model.layers.11.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
38
+ "model.layers.11.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
39
+ "model.layers.11.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
40
+ "model.layers.11.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
41
+ "model.layers.11.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
42
+ "model.layers.11.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
43
+ "model.layers.11.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
44
+ "model.layers.12.input_layernorm.weight": "model-00002-of-00004.safetensors",
45
+ "model.layers.12.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
46
+ "model.layers.12.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
47
+ "model.layers.12.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
48
+ "model.layers.12.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
49
+ "model.layers.12.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
50
+ "model.layers.12.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
51
+ "model.layers.12.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
52
+ "model.layers.12.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
53
+ "model.layers.13.input_layernorm.weight": "model-00002-of-00004.safetensors",
54
+ "model.layers.13.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
55
+ "model.layers.13.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
56
+ "model.layers.13.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
57
+ "model.layers.13.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
58
+ "model.layers.13.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
59
+ "model.layers.13.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
60
+ "model.layers.13.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
61
+ "model.layers.13.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
62
+ "model.layers.14.input_layernorm.weight": "model-00002-of-00004.safetensors",
63
+ "model.layers.14.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
64
+ "model.layers.14.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
65
+ "model.layers.14.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
66
+ "model.layers.14.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
67
+ "model.layers.14.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
68
+ "model.layers.14.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
69
+ "model.layers.14.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
70
+ "model.layers.14.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
71
+ "model.layers.15.input_layernorm.weight": "model-00002-of-00004.safetensors",
72
+ "model.layers.15.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
73
+ "model.layers.15.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
74
+ "model.layers.15.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
75
+ "model.layers.15.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
76
+ "model.layers.15.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
77
+ "model.layers.15.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
78
+ "model.layers.15.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
79
+ "model.layers.15.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
80
+ "model.layers.16.input_layernorm.weight": "model-00002-of-00004.safetensors",
81
+ "model.layers.16.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
82
+ "model.layers.16.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
83
+ "model.layers.16.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
84
+ "model.layers.16.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
85
+ "model.layers.16.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
86
+ "model.layers.16.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
87
+ "model.layers.16.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
88
+ "model.layers.16.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
89
+ "model.layers.17.input_layernorm.weight": "model-00002-of-00004.safetensors",
90
+ "model.layers.17.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
91
+ "model.layers.17.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
92
+ "model.layers.17.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
93
+ "model.layers.17.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
94
+ "model.layers.17.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
95
+ "model.layers.17.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
96
+ "model.layers.17.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
97
+ "model.layers.17.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
98
+ "model.layers.18.input_layernorm.weight": "model-00002-of-00004.safetensors",
99
+ "model.layers.18.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
100
+ "model.layers.18.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
101
+ "model.layers.18.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
102
+ "model.layers.18.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
103
+ "model.layers.18.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
104
+ "model.layers.18.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
105
+ "model.layers.18.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
106
+ "model.layers.18.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
107
+ "model.layers.19.input_layernorm.weight": "model-00002-of-00004.safetensors",
108
+ "model.layers.19.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
109
+ "model.layers.19.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
110
+ "model.layers.19.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
111
+ "model.layers.19.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
112
+ "model.layers.19.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
113
+ "model.layers.19.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
114
+ "model.layers.19.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
115
+ "model.layers.19.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
116
+ "model.layers.2.input_layernorm.weight": "model-00001-of-00004.safetensors",
117
+ "model.layers.2.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
118
+ "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
119
+ "model.layers.2.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
120
+ "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
121
+ "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
122
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
123
+ "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
124
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
125
+ "model.layers.20.input_layernorm.weight": "model-00002-of-00004.safetensors",
126
+ "model.layers.20.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
127
+ "model.layers.20.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
128
+ "model.layers.20.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
129
+ "model.layers.20.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
130
+ "model.layers.20.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
131
+ "model.layers.20.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
132
+ "model.layers.20.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
133
+ "model.layers.20.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
134
+ "model.layers.21.input_layernorm.weight": "model-00002-of-00004.safetensors",
135
+ "model.layers.21.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
136
+ "model.layers.21.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
137
+ "model.layers.21.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
138
+ "model.layers.21.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
139
+ "model.layers.21.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
140
+ "model.layers.21.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
141
+ "model.layers.21.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
142
+ "model.layers.21.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
143
+ "model.layers.22.input_layernorm.weight": "model-00002-of-00004.safetensors",
144
+ "model.layers.22.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
145
+ "model.layers.22.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
146
+ "model.layers.22.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
147
+ "model.layers.22.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
148
+ "model.layers.22.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
149
+ "model.layers.22.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
150
+ "model.layers.22.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
151
+ "model.layers.22.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
152
+ "model.layers.23.input_layernorm.weight": "model-00003-of-00004.safetensors",
153
+ "model.layers.23.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
154
+ "model.layers.23.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
155
+ "model.layers.23.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
156
+ "model.layers.23.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
157
+ "model.layers.23.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
158
+ "model.layers.23.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
159
+ "model.layers.23.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
160
+ "model.layers.23.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
161
+ "model.layers.24.input_layernorm.weight": "model-00003-of-00004.safetensors",
162
+ "model.layers.24.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
163
+ "model.layers.24.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
164
+ "model.layers.24.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
165
+ "model.layers.24.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
166
+ "model.layers.24.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
167
+ "model.layers.24.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
168
+ "model.layers.24.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
169
+ "model.layers.24.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
170
+ "model.layers.25.input_layernorm.weight": "model-00003-of-00004.safetensors",
171
+ "model.layers.25.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
172
+ "model.layers.25.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
173
+ "model.layers.25.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
174
+ "model.layers.25.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
175
+ "model.layers.25.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
176
+ "model.layers.25.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
177
+ "model.layers.25.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
178
+ "model.layers.25.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
179
+ "model.layers.26.input_layernorm.weight": "model-00003-of-00004.safetensors",
180
+ "model.layers.26.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
181
+ "model.layers.26.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
182
+ "model.layers.26.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
183
+ "model.layers.26.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
184
+ "model.layers.26.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
185
+ "model.layers.26.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
186
+ "model.layers.26.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
187
+ "model.layers.26.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
188
+ "model.layers.27.input_layernorm.weight": "model-00003-of-00004.safetensors",
189
+ "model.layers.27.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
190
+ "model.layers.27.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
191
+ "model.layers.27.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
192
+ "model.layers.27.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
193
+ "model.layers.27.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
194
+ "model.layers.27.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
195
+ "model.layers.27.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
196
+ "model.layers.27.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
197
+ "model.layers.28.input_layernorm.weight": "model-00003-of-00004.safetensors",
198
+ "model.layers.28.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
199
+ "model.layers.28.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
200
+ "model.layers.28.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
201
+ "model.layers.28.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
202
+ "model.layers.28.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
203
+ "model.layers.28.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
204
+ "model.layers.28.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
205
+ "model.layers.28.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
206
+ "model.layers.29.input_layernorm.weight": "model-00003-of-00004.safetensors",
207
+ "model.layers.29.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
208
+ "model.layers.29.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
209
+ "model.layers.29.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
210
+ "model.layers.29.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
211
+ "model.layers.29.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
212
+ "model.layers.29.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
213
+ "model.layers.29.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
214
+ "model.layers.29.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
215
+ "model.layers.3.input_layernorm.weight": "model-00001-of-00004.safetensors",
216
+ "model.layers.3.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
217
+ "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
218
+ "model.layers.3.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
219
+ "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
220
+ "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
221
+ "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
222
+ "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
223
+ "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
224
+ "model.layers.30.input_layernorm.weight": "model-00003-of-00004.safetensors",
225
+ "model.layers.30.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
226
+ "model.layers.30.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
227
+ "model.layers.30.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
228
+ "model.layers.30.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
229
+ "model.layers.30.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
230
+ "model.layers.30.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
231
+ "model.layers.30.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
232
+ "model.layers.30.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
233
+ "model.layers.31.input_layernorm.weight": "model-00003-of-00004.safetensors",
234
+ "model.layers.31.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
235
+ "model.layers.31.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
236
+ "model.layers.31.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
237
+ "model.layers.31.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
238
+ "model.layers.31.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
239
+ "model.layers.31.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
240
+ "model.layers.31.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
241
+ "model.layers.31.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
242
+ "model.layers.32.input_layernorm.weight": "model-00003-of-00004.safetensors",
243
+ "model.layers.32.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
244
+ "model.layers.32.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
245
+ "model.layers.32.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
246
+ "model.layers.32.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
247
+ "model.layers.32.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
248
+ "model.layers.32.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
249
+ "model.layers.32.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
250
+ "model.layers.32.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
251
+ "model.layers.33.input_layernorm.weight": "model-00003-of-00004.safetensors",
252
+ "model.layers.33.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
253
+ "model.layers.33.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
254
+ "model.layers.33.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
255
+ "model.layers.33.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
256
+ "model.layers.33.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
257
+ "model.layers.33.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
258
+ "model.layers.33.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
259
+ "model.layers.33.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
260
+ "model.layers.34.input_layernorm.weight": "model-00003-of-00004.safetensors",
261
+ "model.layers.34.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
262
+ "model.layers.34.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
263
+ "model.layers.34.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
264
+ "model.layers.34.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
265
+ "model.layers.34.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
266
+ "model.layers.34.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
267
+ "model.layers.34.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
268
+ "model.layers.34.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
269
+ "model.layers.35.input_layernorm.weight": "model-00003-of-00004.safetensors",
270
+ "model.layers.35.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
271
+ "model.layers.35.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
272
+ "model.layers.35.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
273
+ "model.layers.35.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
274
+ "model.layers.35.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
275
+ "model.layers.35.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
276
+ "model.layers.35.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
277
+ "model.layers.35.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
278
+ "model.layers.4.input_layernorm.weight": "model-00001-of-00004.safetensors",
279
+ "model.layers.4.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
280
+ "model.layers.4.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
281
+ "model.layers.4.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
282
+ "model.layers.4.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
283
+ "model.layers.4.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
284
+ "model.layers.4.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
285
+ "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
286
+ "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
287
+ "model.layers.5.input_layernorm.weight": "model-00001-of-00004.safetensors",
288
+ "model.layers.5.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
289
+ "model.layers.5.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
290
+ "model.layers.5.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
291
+ "model.layers.5.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
292
+ "model.layers.5.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
293
+ "model.layers.5.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
294
+ "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
295
+ "model.layers.5.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
296
+ "model.layers.6.input_layernorm.weight": "model-00001-of-00004.safetensors",
297
+ "model.layers.6.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
298
+ "model.layers.6.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
299
+ "model.layers.6.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
300
+ "model.layers.6.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
301
+ "model.layers.6.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
302
+ "model.layers.6.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
303
+ "model.layers.6.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
304
+ "model.layers.6.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
305
+ "model.layers.7.input_layernorm.weight": "model-00001-of-00004.safetensors",
306
+ "model.layers.7.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
307
+ "model.layers.7.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
308
+ "model.layers.7.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
309
+ "model.layers.7.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
310
+ "model.layers.7.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
311
+ "model.layers.7.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
312
+ "model.layers.7.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
313
+ "model.layers.7.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
314
+ "model.layers.8.input_layernorm.weight": "model-00001-of-00004.safetensors",
315
+ "model.layers.8.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
316
+ "model.layers.8.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
317
+ "model.layers.8.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
318
+ "model.layers.8.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
319
+ "model.layers.8.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
320
+ "model.layers.8.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
321
+ "model.layers.8.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
322
+ "model.layers.8.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
323
+ "model.layers.9.input_layernorm.weight": "model-00001-of-00004.safetensors",
324
+ "model.layers.9.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
325
+ "model.layers.9.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
326
+ "model.layers.9.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
327
+ "model.layers.9.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
328
+ "model.layers.9.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
329
+ "model.layers.9.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
330
+ "model.layers.9.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
331
+ "model.layers.9.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
332
+ "model.norm.weight": "model-00003-of-00004.safetensors"
333
+ }
334
+ }
special_tokens_map.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<s>",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "</s>",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": "</s>",
17
+ "unk_token": {
18
+ "content": "<unk>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ }
24
+ }
tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d7edbeaf20dd7f571b5dd1c54d9ace4f9b6299127cc7ba2afb14a6d51a4a79a4
3
+ size 17078136
tokenizer_config.json ADDED
The diff for this file is too large to render. See raw diff
 
trainer_log.jsonl ADDED
@@ -0,0 +1,198 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"current_steps": 1, "total_steps": 190, "loss": 0.5587, "lr": 0.0, "epoch": 0.026845637583892617, "percentage": 0.53, "elapsed_time": "0:00:34", "remaining_time": "1:49:01", "throughput": 14331.04, "total_tokens": 496000}
2
+ {"current_steps": 2, "total_steps": 190, "loss": 0.6532, "lr": 2.631578947368421e-06, "epoch": 0.053691275167785234, "percentage": 1.05, "elapsed_time": "0:01:00", "remaining_time": "1:35:17", "throughput": 16561.55, "total_tokens": 1007328}
3
+ {"current_steps": 3, "total_steps": 190, "loss": 0.4746, "lr": 5.263157894736842e-06, "epoch": 0.08053691275167785, "percentage": 1.58, "elapsed_time": "0:01:26", "remaining_time": "1:30:04", "throughput": 17532.25, "total_tokens": 1520160}
4
+ {"current_steps": 4, "total_steps": 190, "loss": 0.5696, "lr": 7.894736842105263e-06, "epoch": 0.10738255033557047, "percentage": 2.11, "elapsed_time": "0:01:52", "remaining_time": "1:27:16", "throughput": 18037.54, "total_tokens": 2031424}
5
+ {"current_steps": 5, "total_steps": 190, "loss": 0.5954, "lr": 1.0526315789473684e-05, "epoch": 0.1342281879194631, "percentage": 2.63, "elapsed_time": "0:02:18", "remaining_time": "1:25:27", "throughput": 18348.79, "total_tokens": 2542624}
6
+ {"current_steps": 6, "total_steps": 190, "loss": 0.7396, "lr": 1.3157894736842106e-05, "epoch": 0.1610738255033557, "percentage": 3.16, "elapsed_time": "0:02:44", "remaining_time": "1:24:00", "throughput": 18591.36, "total_tokens": 3056000}
7
+ {"current_steps": 7, "total_steps": 190, "loss": 0.7118, "lr": 1.5789473684210526e-05, "epoch": 0.18791946308724833, "percentage": 3.68, "elapsed_time": "0:03:10", "remaining_time": "1:22:55", "throughput": 18778.0, "total_tokens": 3574176}
8
+ {"current_steps": 8, "total_steps": 190, "loss": 0.5509, "lr": 1.8421052631578947e-05, "epoch": 0.21476510067114093, "percentage": 4.21, "elapsed_time": "0:03:37", "remaining_time": "1:22:17", "throughput": 18783.0, "total_tokens": 4076224}
9
+ {"current_steps": 9, "total_steps": 190, "loss": 0.9419, "lr": 2.105263157894737e-05, "epoch": 0.24161073825503357, "percentage": 4.74, "elapsed_time": "0:04:02", "remaining_time": "1:21:26", "throughput": 18861.24, "total_tokens": 4582944}
10
+ {"current_steps": 10, "total_steps": 190, "loss": 0.6846, "lr": 2.368421052631579e-05, "epoch": 0.2684563758389262, "percentage": 5.26, "elapsed_time": "0:04:29", "remaining_time": "1:20:46", "throughput": 18881.76, "total_tokens": 5083968}
11
+ {"current_steps": 11, "total_steps": 190, "loss": 0.5596, "lr": 2.6315789473684212e-05, "epoch": 0.2953020134228188, "percentage": 5.79, "elapsed_time": "0:04:55", "remaining_time": "1:20:09", "throughput": 18975.83, "total_tokens": 5608256}
12
+ {"current_steps": 12, "total_steps": 190, "loss": 0.5313, "lr": 2.8947368421052634e-05, "epoch": 0.3221476510067114, "percentage": 6.32, "elapsed_time": "0:05:21", "remaining_time": "1:19:29", "throughput": 19014.41, "total_tokens": 6113696}
13
+ {"current_steps": 13, "total_steps": 190, "loss": 0.7476, "lr": 3.157894736842105e-05, "epoch": 0.348993288590604, "percentage": 6.84, "elapsed_time": "0:05:47", "remaining_time": "1:18:49", "throughput": 19001.04, "total_tokens": 6599840}
14
+ {"current_steps": 14, "total_steps": 190, "loss": 0.6272, "lr": 3.421052631578947e-05, "epoch": 0.37583892617449666, "percentage": 7.37, "elapsed_time": "0:06:13", "remaining_time": "1:18:17", "throughput": 19043.96, "total_tokens": 7116640}
15
+ {"current_steps": 15, "total_steps": 190, "loss": 0.4918, "lr": 3.6842105263157895e-05, "epoch": 0.40268456375838924, "percentage": 7.89, "elapsed_time": "0:06:39", "remaining_time": "1:17:41", "throughput": 19098.42, "total_tokens": 7631552}
16
+ {"current_steps": 16, "total_steps": 190, "loss": 0.5583, "lr": 3.9473684210526316e-05, "epoch": 0.42953020134228187, "percentage": 8.42, "elapsed_time": "0:07:05", "remaining_time": "1:17:09", "throughput": 19096.11, "total_tokens": 8129664}
17
+ {"current_steps": 17, "total_steps": 190, "loss": 0.6327, "lr": 4.210526315789474e-05, "epoch": 0.4563758389261745, "percentage": 8.95, "elapsed_time": "0:07:31", "remaining_time": "1:16:37", "throughput": 19144.93, "total_tokens": 8648320}
18
+ {"current_steps": 18, "total_steps": 190, "loss": 0.5684, "lr": 4.473684210526316e-05, "epoch": 0.48322147651006714, "percentage": 9.47, "elapsed_time": "0:07:57", "remaining_time": "1:16:06", "throughput": 19181.08, "total_tokens": 9166688}
19
+ {"current_steps": 19, "total_steps": 190, "loss": 0.6136, "lr": 4.736842105263158e-05, "epoch": 0.5100671140939598, "percentage": 10.0, "elapsed_time": "0:08:23", "remaining_time": "1:15:34", "throughput": 19234.07, "total_tokens": 9689760}
20
+ {"current_steps": 20, "total_steps": 190, "loss": 0.6268, "lr": 5e-05, "epoch": 0.5369127516778524, "percentage": 10.53, "elapsed_time": "0:08:50", "remaining_time": "1:15:05", "throughput": 19248.26, "total_tokens": 10202784}
21
+ {"current_steps": 21, "total_steps": 190, "loss": 0.6514, "lr": 4.999578104083307e-05, "epoch": 0.5637583892617449, "percentage": 11.05, "elapsed_time": "0:09:16", "remaining_time": "1:14:34", "throughput": 19252.73, "total_tokens": 10704736}
22
+ {"current_steps": 22, "total_steps": 190, "loss": 0.4698, "lr": 4.998312558730159e-05, "epoch": 0.5906040268456376, "percentage": 11.58, "elapsed_time": "0:09:42", "remaining_time": "1:14:05", "throughput": 19245.25, "total_tokens": 11204608}
23
+ {"current_steps": 23, "total_steps": 190, "loss": 0.6816, "lr": 4.996203791083291e-05, "epoch": 0.6174496644295302, "percentage": 12.11, "elapsed_time": "0:10:08", "remaining_time": "1:13:36", "throughput": 19238.29, "total_tokens": 11702432}
24
+ {"current_steps": 24, "total_steps": 190, "loss": 0.6014, "lr": 4.993252512887069e-05, "epoch": 0.6442953020134228, "percentage": 12.63, "elapsed_time": "0:10:34", "remaining_time": "1:13:09", "throughput": 19238.38, "total_tokens": 12210336}
25
+ {"current_steps": 25, "total_steps": 190, "loss": 2.6525, "lr": 4.9894597202472696e-05, "epoch": 0.6711409395973155, "percentage": 13.16, "elapsed_time": "0:11:00", "remaining_time": "1:12:39", "throughput": 19264.33, "total_tokens": 12725728}
26
+ {"current_steps": 25, "total_steps": 190, "eval_loss": 0.7538173198699951, "epoch": 0.6711409395973155, "percentage": 13.16, "elapsed_time": "0:11:10", "remaining_time": "1:13:46", "throughput": 18975.16, "total_tokens": 12725728}
27
+ {"current_steps": 26, "total_steps": 190, "loss": 3.0007, "lr": 4.984826693294874e-05, "epoch": 0.697986577181208, "percentage": 13.68, "elapsed_time": "0:12:41", "remaining_time": "1:20:05", "throughput": 17381.69, "total_tokens": 13241920}
28
+ {"current_steps": 27, "total_steps": 190, "loss": 1.1118, "lr": 4.979354995754006e-05, "epoch": 0.7248322147651006, "percentage": 14.21, "elapsed_time": "0:13:07", "remaining_time": "1:19:16", "throughput": 17456.83, "total_tokens": 13754432}
29
+ {"current_steps": 28, "total_steps": 190, "loss": 5.0379, "lr": 4.9730464744141445e-05, "epoch": 0.7516778523489933, "percentage": 14.74, "elapsed_time": "0:13:33", "remaining_time": "1:18:28", "throughput": 17532.84, "total_tokens": 14269824}
30
+ {"current_steps": 29, "total_steps": 190, "loss": 1.1003, "lr": 4.965903258506806e-05, "epoch": 0.7785234899328859, "percentage": 15.26, "elapsed_time": "0:13:59", "remaining_time": "1:17:43", "throughput": 17568.32, "total_tokens": 14756000}
31
+ {"current_steps": 30, "total_steps": 190, "loss": 1.1593, "lr": 4.957927758986888e-05, "epoch": 0.8053691275167785, "percentage": 15.79, "elapsed_time": "0:14:26", "remaining_time": "1:16:59", "throughput": 17613.94, "total_tokens": 15256512}
32
+ {"current_steps": 31, "total_steps": 190, "loss": 0.6791, "lr": 4.949122667718935e-05, "epoch": 0.8322147651006712, "percentage": 16.32, "elapsed_time": "0:14:52", "remaining_time": "1:16:15", "throughput": 17686.98, "total_tokens": 15778720}
33
+ {"current_steps": 32, "total_steps": 190, "loss": 0.8403, "lr": 4.9394909565685894e-05, "epoch": 0.8590604026845637, "percentage": 16.84, "elapsed_time": "0:15:17", "remaining_time": "1:15:31", "throughput": 17749.19, "total_tokens": 16291104}
34
+ {"current_steps": 33, "total_steps": 190, "loss": 0.6432, "lr": 4.929035876399535e-05, "epoch": 0.8859060402684564, "percentage": 17.37, "elapsed_time": "0:15:43", "remaining_time": "1:14:49", "throughput": 17814.41, "total_tokens": 16811968}
35
+ {"current_steps": 34, "total_steps": 190, "loss": 0.5564, "lr": 4.917760955976277e-05, "epoch": 0.912751677852349, "percentage": 17.89, "elapsed_time": "0:16:09", "remaining_time": "1:14:10", "throughput": 17864.61, "total_tokens": 17327040}
36
+ {"current_steps": 35, "total_steps": 190, "loss": 1.8105, "lr": 4.905670000773126e-05, "epoch": 0.9395973154362416, "percentage": 18.42, "elapsed_time": "0:16:36", "remaining_time": "1:13:30", "throughput": 17894.73, "total_tokens": 17823168}
37
+ {"current_steps": 36, "total_steps": 190, "loss": 0.9537, "lr": 4.892767091689786e-05, "epoch": 0.9664429530201343, "percentage": 18.95, "elapsed_time": "0:17:02", "remaining_time": "1:12:53", "throughput": 17943.99, "total_tokens": 18343840}
38
+ {"current_steps": 37, "total_steps": 190, "loss": 0.7753, "lr": 4.87905658367398e-05, "epoch": 0.9932885906040269, "percentage": 19.47, "elapsed_time": "0:17:28", "remaining_time": "1:12:14", "throughput": 17995.74, "total_tokens": 18864096}
39
+ {"current_steps": 38, "total_steps": 190, "loss": 0.3534, "lr": 4.864543104251587e-05, "epoch": 1.0, "percentage": 20.0, "elapsed_time": "0:17:33", "remaining_time": "1:10:12", "throughput": 18019.88, "total_tokens": 18979328}
40
+ {"current_steps": 39, "total_steps": 190, "loss": 1.6501, "lr": 4.849231551964771e-05, "epoch": 1.0268456375838926, "percentage": 20.53, "elapsed_time": "0:17:59", "remaining_time": "1:09:39", "throughput": 18041.79, "total_tokens": 19477504}
41
+ {"current_steps": 40, "total_steps": 190, "loss": 2.3538, "lr": 4.833127094718643e-05, "epoch": 1.0536912751677852, "percentage": 21.05, "elapsed_time": "0:18:25", "remaining_time": "1:09:05", "throughput": 18079.89, "total_tokens": 19985312}
42
+ {"current_steps": 41, "total_steps": 190, "loss": 0.5087, "lr": 4.8162351680370044e-05, "epoch": 1.0805369127516777, "percentage": 21.58, "elapsed_time": "0:18:51", "remaining_time": "1:08:32", "throughput": 18096.98, "total_tokens": 20476800}
43
+ {"current_steps": 42, "total_steps": 190, "loss": 0.5662, "lr": 4.79856147322777e-05, "epoch": 1.1073825503355705, "percentage": 22.11, "elapsed_time": "0:19:17", "remaining_time": "1:07:59", "throughput": 18124.39, "total_tokens": 20980288}
44
+ {"current_steps": 43, "total_steps": 190, "loss": 0.4659, "lr": 4.7801119754586766e-05, "epoch": 1.1342281879194631, "percentage": 22.63, "elapsed_time": "0:19:43", "remaining_time": "1:07:26", "throughput": 18159.28, "total_tokens": 21492736}
45
+ {"current_steps": 44, "total_steps": 190, "loss": 1.9776, "lr": 4.760892901743944e-05, "epoch": 1.1610738255033557, "percentage": 23.16, "elapsed_time": "0:20:09", "remaining_time": "1:06:53", "throughput": 18185.9, "total_tokens": 21997856}
46
+ {"current_steps": 45, "total_steps": 190, "loss": 3.0839, "lr": 4.7409107388425504e-05, "epoch": 1.1879194630872483, "percentage": 23.68, "elapsed_time": "0:20:35", "remaining_time": "1:06:22", "throughput": 18213.9, "total_tokens": 22509088}
47
+ {"current_steps": 46, "total_steps": 190, "loss": 0.6674, "lr": 4.7201722310688445e-05, "epoch": 1.2147651006711409, "percentage": 24.21, "elapsed_time": "0:21:02", "remaining_time": "1:05:52", "throughput": 18237.35, "total_tokens": 23024384}
48
+ {"current_steps": 47, "total_steps": 190, "loss": 1.0302, "lr": 4.698684378016222e-05, "epoch": 1.2416107382550337, "percentage": 24.74, "elapsed_time": "0:21:28", "remaining_time": "1:05:19", "throughput": 18271.8, "total_tokens": 23536384}
49
+ {"current_steps": 48, "total_steps": 190, "loss": 1.3633, "lr": 4.676454432194656e-05, "epoch": 1.2684563758389262, "percentage": 25.26, "elapsed_time": "0:21:54", "remaining_time": "1:04:48", "throughput": 18293.44, "total_tokens": 24046432}
50
+ {"current_steps": 49, "total_steps": 190, "loss": 0.5103, "lr": 4.6534898965828405e-05, "epoch": 1.2953020134228188, "percentage": 25.79, "elapsed_time": "0:22:20", "remaining_time": "1:04:17", "throughput": 18311.25, "total_tokens": 24549600}
51
+ {"current_steps": 50, "total_steps": 190, "loss": 0.6796, "lr": 4.629798522095818e-05, "epoch": 1.3221476510067114, "percentage": 26.32, "elapsed_time": "0:22:46", "remaining_time": "1:03:46", "throughput": 18321.09, "total_tokens": 25037312}
52
+ {"current_steps": 50, "total_steps": 190, "eval_loss": 0.5981780886650085, "epoch": 1.3221476510067114, "percentage": 26.32, "elapsed_time": "0:22:56", "remaining_time": "1:04:14", "throughput": 18186.97, "total_tokens": 25037312}
53
+ {"current_steps": 51, "total_steps": 190, "loss": 0.7632, "lr": 4.6053883049689145e-05, "epoch": 1.348993288590604, "percentage": 26.84, "elapsed_time": "0:24:21", "remaining_time": "1:06:24", "throughput": 17475.43, "total_tokens": 25548352}
54
+ {"current_steps": 52, "total_steps": 190, "loss": 0.5686, "lr": 4.580267484058876e-05, "epoch": 1.3758389261744965, "percentage": 27.37, "elapsed_time": "0:24:48", "remaining_time": "1:05:49", "throughput": 17512.79, "total_tokens": 26063136}
55
+ {"current_steps": 53, "total_steps": 190, "loss": 0.5809, "lr": 4.554444538063113e-05, "epoch": 1.4026845637583891, "percentage": 27.89, "elapsed_time": "0:25:14", "remaining_time": "1:05:15", "throughput": 17545.83, "total_tokens": 26574336}
56
+ {"current_steps": 54, "total_steps": 190, "loss": 0.4817, "lr": 4.5279281826580056e-05, "epoch": 1.429530201342282, "percentage": 28.42, "elapsed_time": "0:25:40", "remaining_time": "1:04:40", "throughput": 17572.61, "total_tokens": 27078496}
57
+ {"current_steps": 55, "total_steps": 190, "loss": 0.4111, "lr": 4.5007273675572104e-05, "epoch": 1.4563758389261745, "percentage": 28.95, "elapsed_time": "0:26:07", "remaining_time": "1:04:06", "throughput": 17609.9, "total_tokens": 27599232}
58
+ {"current_steps": 56, "total_steps": 190, "loss": 0.5102, "lr": 4.4728512734909844e-05, "epoch": 1.483221476510067, "percentage": 29.47, "elapsed_time": "0:26:33", "remaining_time": "1:03:33", "throughput": 17633.69, "total_tokens": 28099968}
59
+ {"current_steps": 57, "total_steps": 190, "loss": 0.8591, "lr": 4.444309309107535e-05, "epoch": 1.5100671140939599, "percentage": 30.0, "elapsed_time": "0:26:59", "remaining_time": "1:02:59", "throughput": 17658.84, "total_tokens": 28604864}
60
+ {"current_steps": 58, "total_steps": 190, "loss": 0.6124, "lr": 4.415111107797445e-05, "epoch": 1.5369127516778525, "percentage": 30.53, "elapsed_time": "0:27:26", "remaining_time": "1:02:26", "throughput": 17686.77, "total_tokens": 29112480}
61
+ {"current_steps": 59, "total_steps": 190, "loss": 0.8082, "lr": 4.385266524442241e-05, "epoch": 1.563758389261745, "percentage": 31.05, "elapsed_time": "0:27:51", "remaining_time": "1:01:51", "throughput": 17712.05, "total_tokens": 29610208}
62
+ {"current_steps": 60, "total_steps": 190, "loss": 0.5294, "lr": 4.3547856320882044e-05, "epoch": 1.5906040268456376, "percentage": 31.58, "elapsed_time": "0:28:17", "remaining_time": "1:01:18", "throughput": 17744.08, "total_tokens": 30121920}
63
+ {"current_steps": 61, "total_steps": 190, "loss": 0.5192, "lr": 4.3236787185465525e-05, "epoch": 1.6174496644295302, "percentage": 32.11, "elapsed_time": "0:28:43", "remaining_time": "1:00:44", "throughput": 17773.58, "total_tokens": 30632928}
64
+ {"current_steps": 62, "total_steps": 190, "loss": 0.554, "lr": 4.2919562829211283e-05, "epoch": 1.6442953020134228, "percentage": 32.63, "elapsed_time": "0:29:09", "remaining_time": "1:00:12", "throughput": 17797.41, "total_tokens": 31139872}
65
+ {"current_steps": 63, "total_steps": 190, "loss": 0.4231, "lr": 4.259629032064779e-05, "epoch": 1.6711409395973154, "percentage": 33.16, "elapsed_time": "0:29:35", "remaining_time": "0:59:39", "throughput": 17822.95, "total_tokens": 31645376}
66
+ {"current_steps": 64, "total_steps": 190, "loss": 1.475, "lr": 4.226707876965611e-05, "epoch": 1.697986577181208, "percentage": 33.68, "elapsed_time": "0:30:02", "remaining_time": "0:59:07", "throughput": 17850.53, "total_tokens": 32167168}
67
+ {"current_steps": 65, "total_steps": 190, "loss": 1.6005, "lr": 4.193203929064353e-05, "epoch": 1.7248322147651005, "percentage": 34.21, "elapsed_time": "0:30:28", "remaining_time": "0:58:35", "throughput": 17880.98, "total_tokens": 32691456}
68
+ {"current_steps": 66, "total_steps": 190, "loss": 1.1018, "lr": 4.159128496504053e-05, "epoch": 1.7516778523489933, "percentage": 34.74, "elapsed_time": "0:30:54", "remaining_time": "0:58:04", "throughput": 17894.87, "total_tokens": 33188672}
69
+ {"current_steps": 67, "total_steps": 190, "loss": 1.2071, "lr": 4.1244930803134e-05, "epoch": 1.778523489932886, "percentage": 35.26, "elapsed_time": "0:31:20", "remaining_time": "0:57:33", "throughput": 17911.2, "total_tokens": 33690880}
70
+ {"current_steps": 68, "total_steps": 190, "loss": 0.6214, "lr": 4.089309370524921e-05, "epoch": 1.8053691275167785, "percentage": 35.79, "elapsed_time": "0:31:47", "remaining_time": "0:57:01", "throughput": 17931.64, "total_tokens": 34196736}
71
+ {"current_steps": 69, "total_steps": 190, "loss": 0.5573, "lr": 4.053589242229412e-05, "epoch": 1.8322147651006713, "percentage": 36.32, "elapsed_time": "0:32:13", "remaining_time": "0:56:30", "throughput": 17960.71, "total_tokens": 34720768}
72
+ {"current_steps": 70, "total_steps": 190, "loss": 0.436, "lr": 4.0173447515678916e-05, "epoch": 1.8590604026845639, "percentage": 36.84, "elapsed_time": "0:32:39", "remaining_time": "0:55:58", "throughput": 17983.48, "total_tokens": 35230112}
73
+ {"current_steps": 71, "total_steps": 190, "loss": 0.4724, "lr": 3.9805881316624506e-05, "epoch": 1.8859060402684564, "percentage": 37.37, "elapsed_time": "0:33:05", "remaining_time": "0:55:27", "throughput": 18009.4, "total_tokens": 35752064}
74
+ {"current_steps": 72, "total_steps": 190, "loss": 0.4414, "lr": 3.9433317884873664e-05, "epoch": 1.912751677852349, "percentage": 37.89, "elapsed_time": "0:33:31", "remaining_time": "0:54:57", "throughput": 18030.58, "total_tokens": 36274496}
75
+ {"current_steps": 73, "total_steps": 190, "loss": 0.3534, "lr": 3.905588296681886e-05, "epoch": 1.9395973154362416, "percentage": 38.42, "elapsed_time": "0:33:58", "remaining_time": "0:54:26", "throughput": 18043.29, "total_tokens": 36777152}
76
+ {"current_steps": 74, "total_steps": 190, "loss": 1.1611, "lr": 3.867370395306068e-05, "epoch": 1.9664429530201342, "percentage": 38.95, "elapsed_time": "0:34:24", "remaining_time": "0:53:56", "throughput": 18066.46, "total_tokens": 37298112}
77
+ {"current_steps": 75, "total_steps": 190, "loss": 0.6056, "lr": 3.82869098354114e-05, "epoch": 1.9932885906040267, "percentage": 39.47, "elapsed_time": "0:34:51", "remaining_time": "0:53:26", "throughput": 18082.19, "total_tokens": 37817120}
78
+ {"current_steps": 75, "total_steps": 190, "eval_loss": 0.5577213764190674, "epoch": 1.9932885906040267, "percentage": 39.47, "elapsed_time": "0:35:01", "remaining_time": "0:53:42", "throughput": 17995.52, "total_tokens": 37817120}
79
+ {"current_steps": 76, "total_steps": 190, "loss": 0.4723, "lr": 3.7895631163358105e-05, "epoch": 2.0, "percentage": 40.0, "elapsed_time": "0:36:06", "remaining_time": "0:54:09", "throughput": 17518.61, "total_tokens": 37948192}
80
+ {"current_steps": 77, "total_steps": 190, "loss": 0.4424, "lr": 3.7500000000000003e-05, "epoch": 2.0268456375838926, "percentage": 40.53, "elapsed_time": "0:36:32", "remaining_time": "0:53:37", "throughput": 17545.81, "total_tokens": 38467968}
81
+ {"current_steps": 78, "total_steps": 190, "loss": 1.4039, "lr": 3.7100149877474974e-05, "epoch": 2.053691275167785, "percentage": 41.05, "elapsed_time": "0:36:58", "remaining_time": "0:53:06", "throughput": 17570.6, "total_tokens": 38986496}
82
+ {"current_steps": 79, "total_steps": 190, "loss": 0.3641, "lr": 3.66962157518902e-05, "epoch": 2.0805369127516777, "percentage": 41.58, "elapsed_time": "0:37:25", "remaining_time": "0:52:35", "throughput": 17593.63, "total_tokens": 39507008}
83
+ {"current_steps": 80, "total_steps": 190, "loss": 0.3558, "lr": 3.628833395777224e-05, "epoch": 2.1073825503355703, "percentage": 42.11, "elapsed_time": "0:37:51", "remaining_time": "0:52:03", "throughput": 17613.47, "total_tokens": 40012992}
84
+ {"current_steps": 81, "total_steps": 190, "loss": 0.4281, "lr": 3.587664216205183e-05, "epoch": 2.134228187919463, "percentage": 42.63, "elapsed_time": "0:38:18", "remaining_time": "0:51:32", "throughput": 17639.74, "total_tokens": 40536608}
85
+ {"current_steps": 82, "total_steps": 190, "loss": 0.3695, "lr": 3.546127931759903e-05, "epoch": 2.1610738255033555, "percentage": 43.16, "elapsed_time": "0:38:43", "remaining_time": "0:51:00", "throughput": 17664.76, "total_tokens": 41052192}
86
+ {"current_steps": 83, "total_steps": 190, "loss": 0.967, "lr": 3.504238561632424e-05, "epoch": 2.1879194630872485, "percentage": 43.68, "elapsed_time": "0:39:10", "remaining_time": "0:50:29", "throughput": 17683.82, "total_tokens": 41559584}
87
+ {"current_steps": 84, "total_steps": 190, "loss": 0.4472, "lr": 3.4620102441861143e-05, "epoch": 2.214765100671141, "percentage": 44.21, "elapsed_time": "0:39:36", "remaining_time": "0:49:58", "throughput": 17700.74, "total_tokens": 42060128}
88
+ {"current_steps": 85, "total_steps": 190, "loss": 1.2018, "lr": 3.4194572321847336e-05, "epoch": 2.2416107382550337, "percentage": 44.74, "elapsed_time": "0:40:02", "remaining_time": "0:49:27", "throughput": 17719.72, "total_tokens": 42570080}
89
+ {"current_steps": 86, "total_steps": 190, "loss": 1.1866, "lr": 3.376593887981887e-05, "epoch": 2.2684563758389262, "percentage": 45.26, "elapsed_time": "0:40:28", "remaining_time": "0:48:56", "throughput": 17733.69, "total_tokens": 43068832}
90
+ {"current_steps": 87, "total_steps": 190, "loss": 1.9914, "lr": 3.333434678673489e-05, "epoch": 2.295302013422819, "percentage": 45.79, "elapsed_time": "0:40:54", "remaining_time": "0:48:25", "throughput": 17756.43, "total_tokens": 43582016}
91
+ {"current_steps": 88, "total_steps": 190, "loss": 0.6787, "lr": 3.289994171214882e-05, "epoch": 2.3221476510067114, "percentage": 46.32, "elapsed_time": "0:41:20", "remaining_time": "0:47:55", "throughput": 17773.06, "total_tokens": 44089344}
92
+ {"current_steps": 89, "total_steps": 190, "loss": 0.4743, "lr": 3.246287027504237e-05, "epoch": 2.348993288590604, "percentage": 46.84, "elapsed_time": "0:41:46", "remaining_time": "0:47:24", "throughput": 17790.33, "total_tokens": 44589408}
93
+ {"current_steps": 90, "total_steps": 190, "loss": 0.4042, "lr": 3.202327999433924e-05, "epoch": 2.3758389261744965, "percentage": 47.37, "elapsed_time": "0:42:12", "remaining_time": "0:46:53", "throughput": 17812.0, "total_tokens": 45105888}
94
+ {"current_steps": 91, "total_steps": 190, "loss": 0.4187, "lr": 3.158131923911498e-05, "epoch": 2.402684563758389, "percentage": 47.89, "elapsed_time": "0:42:38", "remaining_time": "0:46:23", "throughput": 17831.49, "total_tokens": 45623968}
95
+ {"current_steps": 92, "total_steps": 190, "loss": 3.5044, "lr": 3.1137137178519985e-05, "epoch": 2.4295302013422817, "percentage": 48.42, "elapsed_time": "0:43:04", "remaining_time": "0:45:53", "throughput": 17849.29, "total_tokens": 46136544}
96
+ {"current_steps": 93, "total_steps": 190, "loss": 0.3795, "lr": 3.069088373143234e-05, "epoch": 2.4563758389261743, "percentage": 48.95, "elapsed_time": "0:43:30", "remaining_time": "0:45:23", "throughput": 17867.58, "total_tokens": 46651040}
97
+ {"current_steps": 94, "total_steps": 190, "loss": 2.3593, "lr": 3.0242709515857758e-05, "epoch": 2.4832214765100673, "percentage": 49.47, "elapsed_time": "0:43:57", "remaining_time": "0:44:53", "throughput": 17883.55, "total_tokens": 47163616}
98
+ {"current_steps": 95, "total_steps": 190, "loss": 1.9348, "lr": 2.9792765798093465e-05, "epoch": 2.51006711409396, "percentage": 50.0, "elapsed_time": "0:44:23", "remaining_time": "0:44:23", "throughput": 17902.1, "total_tokens": 47674976}
99
+ {"current_steps": 96, "total_steps": 190, "loss": 5.973, "lr": 2.9341204441673266e-05, "epoch": 2.5369127516778525, "percentage": 50.53, "elapsed_time": "0:44:49", "remaining_time": "0:43:53", "throughput": 17914.85, "total_tokens": 48185504}
100
+ {"current_steps": 97, "total_steps": 190, "loss": 0.5242, "lr": 2.8888177856111083e-05, "epoch": 2.563758389261745, "percentage": 51.05, "elapsed_time": "0:45:15", "remaining_time": "0:43:23", "throughput": 17928.93, "total_tokens": 48689920}
101
+ {"current_steps": 98, "total_steps": 190, "loss": 0.6778, "lr": 2.8433838945460205e-05, "epoch": 2.5906040268456376, "percentage": 51.58, "elapsed_time": "0:45:41", "remaining_time": "0:42:53", "throughput": 17948.81, "total_tokens": 49207680}
102
+ {"current_steps": 99, "total_steps": 190, "loss": 0.4994, "lr": 2.797834105670559e-05, "epoch": 2.61744966442953, "percentage": 52.11, "elapsed_time": "0:46:07", "remaining_time": "0:42:24", "throughput": 17957.54, "total_tokens": 49701344}
103
+ {"current_steps": 100, "total_steps": 190, "loss": 0.4019, "lr": 2.752183792800671e-05, "epoch": 2.6442953020134228, "percentage": 52.63, "elapsed_time": "0:46:33", "remaining_time": "0:41:54", "throughput": 17974.14, "total_tokens": 50216704}
104
+ {"current_steps": 100, "total_steps": 190, "eval_loss": 0.5278336405754089, "epoch": 2.6442953020134228, "percentage": 52.63, "elapsed_time": "0:46:43", "remaining_time": "0:42:03", "throughput": 17909.57, "total_tokens": 50216704}
105
+ {"current_steps": 101, "total_steps": 190, "loss": 1.1764, "lr": 2.7064483636808313e-05, "epoch": 2.6711409395973154, "percentage": 53.16, "elapsed_time": "0:48:09", "remaining_time": "0:42:26", "throughput": 17553.63, "total_tokens": 50727392}
106
+ {"current_steps": 102, "total_steps": 190, "loss": 0.8064, "lr": 2.6606432547836757e-05, "epoch": 2.697986577181208, "percentage": 53.68, "elapsed_time": "0:48:36", "remaining_time": "0:41:56", "throughput": 17571.22, "total_tokens": 51242496}
107
+ {"current_steps": 103, "total_steps": 190, "loss": 6.5702, "lr": 2.6147839260999295e-05, "epoch": 2.7248322147651005, "percentage": 54.21, "elapsed_time": "0:49:02", "remaining_time": "0:41:25", "throughput": 17580.85, "total_tokens": 51725728}
108
+ {"current_steps": 104, "total_steps": 190, "loss": 0.3993, "lr": 2.5688858559204053e-05, "epoch": 2.751677852348993, "percentage": 54.74, "elapsed_time": "0:49:28", "remaining_time": "0:40:55", "throughput": 17597.18, "total_tokens": 52244192}
109
+ {"current_steps": 105, "total_steps": 190, "loss": 0.4268, "lr": 2.5229645356118163e-05, "epoch": 2.778523489932886, "percentage": 55.26, "elapsed_time": "0:49:55", "remaining_time": "0:40:24", "throughput": 17613.59, "total_tokens": 52757856}
110
+ {"current_steps": 106, "total_steps": 190, "loss": 0.358, "lr": 2.4770354643881843e-05, "epoch": 2.8053691275167782, "percentage": 55.79, "elapsed_time": "0:50:21", "remaining_time": "0:39:54", "throughput": 17629.58, "total_tokens": 53267776}
111
+ {"current_steps": 107, "total_steps": 190, "loss": 1.1325, "lr": 2.4311141440795953e-05, "epoch": 2.8322147651006713, "percentage": 56.32, "elapsed_time": "0:50:47", "remaining_time": "0:39:23", "throughput": 17645.15, "total_tokens": 53774464}
112
+ {"current_steps": 108, "total_steps": 190, "loss": 3.3749, "lr": 2.3852160739000707e-05, "epoch": 2.859060402684564, "percentage": 56.84, "elapsed_time": "0:51:13", "remaining_time": "0:38:53", "throughput": 17663.39, "total_tokens": 54287936}
113
+ {"current_steps": 109, "total_steps": 190, "loss": 0.3589, "lr": 2.3393567452163252e-05, "epoch": 2.8859060402684564, "percentage": 57.37, "elapsed_time": "0:51:39", "remaining_time": "0:38:23", "throughput": 17672.42, "total_tokens": 54776736}
114
+ {"current_steps": 110, "total_steps": 190, "loss": 0.4193, "lr": 2.2935516363191693e-05, "epoch": 2.912751677852349, "percentage": 57.89, "elapsed_time": "0:52:05", "remaining_time": "0:37:53", "throughput": 17683.15, "total_tokens": 55271424}
115
+ {"current_steps": 111, "total_steps": 190, "loss": 0.3847, "lr": 2.2478162071993298e-05, "epoch": 2.9395973154362416, "percentage": 58.42, "elapsed_time": "0:52:31", "remaining_time": "0:37:22", "throughput": 17696.58, "total_tokens": 55769824}
116
+ {"current_steps": 112, "total_steps": 190, "loss": 0.3429, "lr": 2.202165894329441e-05, "epoch": 2.966442953020134, "percentage": 58.95, "elapsed_time": "0:52:57", "remaining_time": "0:36:52", "throughput": 17715.06, "total_tokens": 56289728}
117
+ {"current_steps": 113, "total_steps": 190, "loss": 0.4288, "lr": 2.1566161054539798e-05, "epoch": 2.9932885906040267, "percentage": 59.47, "elapsed_time": "0:53:23", "remaining_time": "0:36:23", "throughput": 17731.51, "total_tokens": 56806016}
118
+ {"current_steps": 114, "total_steps": 190, "loss": 0.389, "lr": 2.111182214388893e-05, "epoch": 3.0, "percentage": 60.0, "elapsed_time": "0:53:28", "remaining_time": "0:35:39", "throughput": 17743.92, "total_tokens": 56937088}
119
+ {"current_steps": 115, "total_steps": 190, "loss": 3.2378, "lr": 2.0658795558326743e-05, "epoch": 3.0268456375838926, "percentage": 60.53, "elapsed_time": "0:53:55", "remaining_time": "0:35:10", "throughput": 17752.98, "total_tokens": 57437376}
120
+ {"current_steps": 116, "total_steps": 190, "loss": 0.7378, "lr": 2.0207234201906547e-05, "epoch": 3.053691275167785, "percentage": 61.05, "elapsed_time": "0:54:21", "remaining_time": "0:34:40", "throughput": 17760.7, "total_tokens": 57926240}
121
+ {"current_steps": 117, "total_steps": 190, "loss": 0.3071, "lr": 1.9757290484142244e-05, "epoch": 3.0805369127516777, "percentage": 61.58, "elapsed_time": "0:54:47", "remaining_time": "0:34:11", "throughput": 17776.9, "total_tokens": 58445376}
122
+ {"current_steps": 118, "total_steps": 190, "loss": 0.5286, "lr": 1.9309116268567674e-05, "epoch": 3.1073825503355703, "percentage": 62.11, "elapsed_time": "0:55:13", "remaining_time": "0:33:41", "throughput": 17788.56, "total_tokens": 58940512}
123
+ {"current_steps": 119, "total_steps": 190, "loss": 1.2341, "lr": 1.8862862821480025e-05, "epoch": 3.134228187919463, "percentage": 62.63, "elapsed_time": "0:55:39", "remaining_time": "0:33:12", "throughput": 17801.65, "total_tokens": 59447232}
124
+ {"current_steps": 120, "total_steps": 190, "loss": 0.2624, "lr": 1.8418680760885027e-05, "epoch": 3.1610738255033555, "percentage": 63.16, "elapsed_time": "0:56:05", "remaining_time": "0:32:43", "throughput": 17816.24, "total_tokens": 59962592}
125
+ {"current_steps": 121, "total_steps": 190, "loss": 0.3812, "lr": 1.797672000566077e-05, "epoch": 3.1879194630872485, "percentage": 63.68, "elapsed_time": "0:56:31", "remaining_time": "0:32:13", "throughput": 17832.25, "total_tokens": 60473632}
126
+ {"current_steps": 122, "total_steps": 190, "loss": 0.3298, "lr": 1.7537129724957642e-05, "epoch": 3.214765100671141, "percentage": 64.21, "elapsed_time": "0:56:57", "remaining_time": "0:31:44", "throughput": 17846.21, "total_tokens": 60984768}
127
+ {"current_steps": 123, "total_steps": 190, "loss": 0.316, "lr": 1.710005828785119e-05, "epoch": 3.2416107382550337, "percentage": 64.74, "elapsed_time": "0:57:23", "remaining_time": "0:31:15", "throughput": 17861.23, "total_tokens": 61507680}
128
+ {"current_steps": 124, "total_steps": 190, "loss": 0.8116, "lr": 1.666565321326512e-05, "epoch": 3.2684563758389262, "percentage": 65.26, "elapsed_time": "0:57:49", "remaining_time": "0:30:46", "throughput": 17875.92, "total_tokens": 62023520}
129
+ {"current_steps": 125, "total_steps": 190, "loss": 0.3133, "lr": 1.6234061120181142e-05, "epoch": 3.295302013422819, "percentage": 65.79, "elapsed_time": "0:58:15", "remaining_time": "0:30:17", "throughput": 17888.79, "total_tokens": 62538624}
130
+ {"current_steps": 125, "total_steps": 190, "eval_loss": 0.4720778465270996, "epoch": 3.295302013422819, "percentage": 65.79, "elapsed_time": "0:58:26", "remaining_time": "0:30:23", "throughput": 17837.39, "total_tokens": 62538624}
131
+ {"current_steps": 126, "total_steps": 190, "loss": 0.8765, "lr": 1.5805427678152677e-05, "epoch": 3.3221476510067114, "percentage": 66.32, "elapsed_time": "0:59:52", "remaining_time": "0:30:24", "throughput": 17550.38, "total_tokens": 63047392}
132
+ {"current_steps": 127, "total_steps": 190, "loss": 0.2751, "lr": 1.5379897558138862e-05, "epoch": 3.348993288590604, "percentage": 66.84, "elapsed_time": "1:00:19", "remaining_time": "0:29:55", "throughput": 17558.39, "total_tokens": 63547936}
133
+ {"current_steps": 128, "total_steps": 190, "loss": 1.2805, "lr": 1.495761438367577e-05, "epoch": 3.3758389261744965, "percentage": 67.37, "elapsed_time": "1:00:45", "remaining_time": "0:29:25", "throughput": 17569.76, "total_tokens": 64051232}
134
+ {"current_steps": 129, "total_steps": 190, "loss": 0.2843, "lr": 1.4538720682400969e-05, "epoch": 3.402684563758389, "percentage": 67.89, "elapsed_time": "1:01:12", "remaining_time": "0:28:56", "throughput": 17576.44, "total_tokens": 64546048}
135
+ {"current_steps": 130, "total_steps": 190, "loss": 0.3334, "lr": 1.4123357837948175e-05, "epoch": 3.4295302013422817, "percentage": 68.42, "elapsed_time": "1:01:38", "remaining_time": "0:28:27", "throughput": 17587.19, "total_tokens": 65047392}
136
+ {"current_steps": 131, "total_steps": 190, "loss": 1.2229, "lr": 1.3711666042227772e-05, "epoch": 3.4563758389261743, "percentage": 68.95, "elapsed_time": "1:02:04", "remaining_time": "0:27:57", "throughput": 17601.89, "total_tokens": 65565600}
137
+ {"current_steps": 132, "total_steps": 190, "loss": 0.4387, "lr": 1.330378424810981e-05, "epoch": 3.4832214765100673, "percentage": 69.47, "elapsed_time": "1:02:31", "remaining_time": "0:27:28", "throughput": 17614.44, "total_tokens": 66075392}
138
+ {"current_steps": 133, "total_steps": 190, "loss": 0.2675, "lr": 1.2899850122525037e-05, "epoch": 3.51006711409396, "percentage": 70.0, "elapsed_time": "1:02:56", "remaining_time": "0:26:58", "throughput": 17631.08, "total_tokens": 66591552}
139
+ {"current_steps": 134, "total_steps": 190, "loss": 0.2816, "lr": 1.2500000000000006e-05, "epoch": 3.5369127516778525, "percentage": 70.53, "elapsed_time": "1:03:22", "remaining_time": "0:26:29", "throughput": 17645.96, "total_tokens": 67106688}
140
+ {"current_steps": 135, "total_steps": 190, "loss": 0.2957, "lr": 1.2104368836641908e-05, "epoch": 3.563758389261745, "percentage": 71.05, "elapsed_time": "1:03:48", "remaining_time": "0:25:59", "throughput": 17659.75, "total_tokens": 67618688}
141
+ {"current_steps": 136, "total_steps": 190, "loss": 2.8051, "lr": 1.1713090164588607e-05, "epoch": 3.5906040268456376, "percentage": 71.58, "elapsed_time": "1:04:15", "remaining_time": "0:25:30", "throughput": 17671.63, "total_tokens": 68129952}
142
+ {"current_steps": 137, "total_steps": 190, "loss": 0.2361, "lr": 1.1326296046939333e-05, "epoch": 3.61744966442953, "percentage": 72.11, "elapsed_time": "1:04:41", "remaining_time": "0:25:01", "throughput": 17684.97, "total_tokens": 68642048}
143
+ {"current_steps": 138, "total_steps": 190, "loss": 0.4118, "lr": 1.0944117033181151e-05, "epoch": 3.6442953020134228, "percentage": 72.63, "elapsed_time": "1:05:07", "remaining_time": "0:24:32", "throughput": 17700.03, "total_tokens": 69161312}
144
+ {"current_steps": 139, "total_steps": 190, "loss": 0.3521, "lr": 1.0566682115126344e-05, "epoch": 3.6711409395973154, "percentage": 73.16, "elapsed_time": "1:05:33", "remaining_time": "0:24:03", "throughput": 17710.48, "total_tokens": 69669024}
145
+ {"current_steps": 140, "total_steps": 190, "loss": 0.3169, "lr": 1.0194118683375503e-05, "epoch": 3.697986577181208, "percentage": 73.68, "elapsed_time": "1:05:59", "remaining_time": "0:23:34", "throughput": 17722.53, "total_tokens": 70169152}
146
+ {"current_steps": 141, "total_steps": 190, "loss": 0.2943, "lr": 9.826552484321087e-06, "epoch": 3.7248322147651005, "percentage": 74.21, "elapsed_time": "1:06:25", "remaining_time": "0:23:05", "throughput": 17736.0, "total_tokens": 70691424}
147
+ {"current_steps": 142, "total_steps": 190, "loss": 0.4079, "lr": 9.464107577705886e-06, "epoch": 3.751677852348993, "percentage": 74.74, "elapsed_time": "1:06:51", "remaining_time": "0:22:36", "throughput": 17746.64, "total_tokens": 71198976}
148
+ {"current_steps": 143, "total_steps": 190, "loss": 0.2099, "lr": 9.106906294750805e-06, "epoch": 3.778523489932886, "percentage": 75.26, "elapsed_time": "1:07:18", "remaining_time": "0:22:07", "throughput": 17758.63, "total_tokens": 71713312}
149
+ {"current_steps": 144, "total_steps": 190, "loss": 0.3496, "lr": 8.755069196866014e-06, "epoch": 3.8053691275167782, "percentage": 75.79, "elapsed_time": "1:07:44", "remaining_time": "0:21:38", "throughput": 17771.5, "total_tokens": 72232064}
150
+ {"current_steps": 145, "total_steps": 190, "loss": 0.2696, "lr": 8.40871503495947e-06, "epoch": 3.8322147651006713, "percentage": 76.32, "elapsed_time": "1:08:10", "remaining_time": "0:21:09", "throughput": 17783.18, "total_tokens": 72743648}
151
+ {"current_steps": 146, "total_steps": 190, "loss": 0.2302, "lr": 8.067960709356478e-06, "epoch": 3.859060402684564, "percentage": 76.84, "elapsed_time": "1:08:37", "remaining_time": "0:20:40", "throughput": 17795.87, "total_tokens": 73266496}
152
+ {"current_steps": 147, "total_steps": 190, "loss": 0.9783, "lr": 7.732921230343892e-06, "epoch": 3.8859060402684564, "percentage": 77.37, "elapsed_time": "1:09:03", "remaining_time": "0:20:12", "throughput": 17805.81, "total_tokens": 73779232}
153
+ {"current_steps": 148, "total_steps": 190, "loss": 0.3549, "lr": 7.403709679352217e-06, "epoch": 3.912751677852349, "percentage": 77.89, "elapsed_time": "1:09:29", "remaining_time": "0:19:43", "throughput": 17817.31, "total_tokens": 74283712}
154
+ {"current_steps": 149, "total_steps": 190, "loss": 0.303, "lr": 7.080437170788723e-06, "epoch": 3.9395973154362416, "percentage": 78.42, "elapsed_time": "1:09:55", "remaining_time": "0:19:14", "throughput": 17827.21, "total_tokens": 74794496}
155
+ {"current_steps": 150, "total_steps": 190, "loss": 0.3139, "lr": 6.763212814534484e-06, "epoch": 3.966442953020134, "percentage": 78.95, "elapsed_time": "1:10:21", "remaining_time": "0:18:45", "throughput": 17838.26, "total_tokens": 75296576}
156
+ {"current_steps": 150, "total_steps": 190, "eval_loss": 0.42412105202674866, "epoch": 3.966442953020134, "percentage": 78.95, "elapsed_time": "1:10:31", "remaining_time": "0:18:48", "throughput": 17795.72, "total_tokens": 75296576}
157
+ {"current_steps": 151, "total_steps": 190, "loss": 1.9097, "lr": 6.452143679117964e-06, "epoch": 3.9932885906040267, "percentage": 79.47, "elapsed_time": "1:11:57", "remaining_time": "0:18:35", "throughput": 17557.68, "total_tokens": 75810848}
158
+ {"current_steps": 152, "total_steps": 190, "loss": 0.2221, "lr": 6.147334755577596e-06, "epoch": 4.0, "percentage": 80.0, "elapsed_time": "1:12:08", "remaining_time": "0:18:02", "throughput": 17543.09, "total_tokens": 75940992}
159
+ {"current_steps": 153, "total_steps": 190, "loss": 0.2591, "lr": 5.848888922025553e-06, "epoch": 4.026845637583893, "percentage": 80.53, "elapsed_time": "1:12:34", "remaining_time": "0:17:33", "throughput": 17557.45, "total_tokens": 76456096}
160
+ {"current_steps": 154, "total_steps": 190, "loss": 0.2145, "lr": 5.556906908924655e-06, "epoch": 4.053691275167785, "percentage": 81.05, "elapsed_time": "1:13:00", "remaining_time": "0:17:04", "throughput": 17572.03, "total_tokens": 76975488}
161
+ {"current_steps": 155, "total_steps": 190, "loss": 0.212, "lr": 5.271487265090163e-06, "epoch": 4.080536912751678, "percentage": 81.58, "elapsed_time": "1:13:26", "remaining_time": "0:16:35", "throughput": 17583.51, "total_tokens": 77487072}
162
+ {"current_steps": 156, "total_steps": 190, "loss": 0.267, "lr": 4.992726324427901e-06, "epoch": 4.10738255033557, "percentage": 82.11, "elapsed_time": "1:13:52", "remaining_time": "0:16:06", "throughput": 17598.3, "total_tokens": 78007040}
163
+ {"current_steps": 157, "total_steps": 190, "loss": 0.1877, "lr": 4.720718173419947e-06, "epoch": 4.134228187919463, "percentage": 82.63, "elapsed_time": "1:14:18", "remaining_time": "0:15:37", "throughput": 17607.76, "total_tokens": 78506528}
164
+ {"current_steps": 158, "total_steps": 190, "loss": 0.5, "lr": 4.4555546193688735e-06, "epoch": 4.1610738255033555, "percentage": 83.16, "elapsed_time": "1:14:45", "remaining_time": "0:15:08", "throughput": 17618.5, "total_tokens": 79019872}
165
+ {"current_steps": 159, "total_steps": 190, "loss": 0.3085, "lr": 4.19732515941125e-06, "epoch": 4.1879194630872485, "percentage": 83.68, "elapsed_time": "1:15:11", "remaining_time": "0:14:39", "throughput": 17629.39, "total_tokens": 79531008}
166
+ {"current_steps": 160, "total_steps": 190, "loss": 0.2403, "lr": 3.94611695031086e-06, "epoch": 4.214765100671141, "percentage": 84.21, "elapsed_time": "1:15:37", "remaining_time": "0:14:10", "throughput": 17638.75, "total_tokens": 80040288}
167
+ {"current_steps": 161, "total_steps": 190, "loss": 0.1888, "lr": 3.7020147790418263e-06, "epoch": 4.241610738255034, "percentage": 84.74, "elapsed_time": "1:16:03", "remaining_time": "0:13:41", "throughput": 17649.33, "total_tokens": 80541216}
168
+ {"current_steps": 162, "total_steps": 190, "loss": 0.2003, "lr": 3.4651010341716028e-06, "epoch": 4.268456375838926, "percentage": 85.26, "elapsed_time": "1:16:29", "remaining_time": "0:13:13", "throughput": 17661.54, "total_tokens": 81055936}
169
+ {"current_steps": 163, "total_steps": 190, "loss": 1.3116, "lr": 3.2354556780534424e-06, "epoch": 4.295302013422819, "percentage": 85.79, "elapsed_time": "1:16:55", "remaining_time": "0:12:44", "throughput": 17673.39, "total_tokens": 81567328}
170
+ {"current_steps": 164, "total_steps": 190, "loss": 0.3799, "lr": 3.013156219837776e-06, "epoch": 4.322147651006711, "percentage": 86.32, "elapsed_time": "1:17:21", "remaining_time": "0:12:15", "throughput": 17683.66, "total_tokens": 82075904}
171
+ {"current_steps": 165, "total_steps": 190, "loss": 0.8396, "lr": 2.7982776893115627e-06, "epoch": 4.348993288590604, "percentage": 86.84, "elapsed_time": "1:17:46", "remaining_time": "0:11:47", "throughput": 17694.65, "total_tokens": 82579648}
172
+ {"current_steps": 166, "total_steps": 190, "loss": 0.2308, "lr": 2.5908926115744997e-06, "epoch": 4.375838926174497, "percentage": 87.37, "elapsed_time": "1:18:12", "remaining_time": "0:11:18", "throughput": 17705.11, "total_tokens": 83089792}
173
+ {"current_steps": 167, "total_steps": 190, "loss": 0.2354, "lr": 2.391070982560564e-06, "epoch": 4.402684563758389, "percentage": 87.89, "elapsed_time": "1:18:38", "remaining_time": "0:10:49", "throughput": 17710.67, "total_tokens": 83575232}
174
+ {"current_steps": 168, "total_steps": 190, "loss": 0.1976, "lr": 2.1988802454132403e-06, "epoch": 4.429530201342282, "percentage": 88.42, "elapsed_time": "1:19:05", "remaining_time": "0:10:21", "throughput": 17720.1, "total_tokens": 84087168}
175
+ {"current_steps": 169, "total_steps": 190, "loss": 0.1741, "lr": 2.0143852677223075e-06, "epoch": 4.456375838926174, "percentage": 88.95, "elapsed_time": "1:19:31", "remaining_time": "0:09:52", "throughput": 17730.41, "total_tokens": 84598784}
176
+ {"current_steps": 170, "total_steps": 190, "loss": 0.6518, "lr": 1.837648319629956e-06, "epoch": 4.483221476510067, "percentage": 89.47, "elapsed_time": "1:19:57", "remaining_time": "0:09:24", "throughput": 17742.79, "total_tokens": 85116288}
177
+ {"current_steps": 171, "total_steps": 190, "loss": 0.2624, "lr": 1.6687290528135723e-06, "epoch": 4.510067114093959, "percentage": 90.0, "elapsed_time": "1:20:23", "remaining_time": "0:08:55", "throughput": 17753.59, "total_tokens": 85632928}
178
+ {"current_steps": 172, "total_steps": 190, "loss": 0.27, "lr": 1.5076844803522922e-06, "epoch": 4.5369127516778525, "percentage": 90.53, "elapsed_time": "1:20:49", "remaining_time": "0:08:27", "throughput": 17764.62, "total_tokens": 86154432}
179
+ {"current_steps": 173, "total_steps": 190, "loss": 0.2335, "lr": 1.3545689574841342e-06, "epoch": 4.563758389261745, "percentage": 91.05, "elapsed_time": "1:21:15", "remaining_time": "0:07:59", "throughput": 17774.88, "total_tokens": 86669984}
180
+ {"current_steps": 174, "total_steps": 190, "loss": 0.2193, "lr": 1.2094341632602064e-06, "epoch": 4.590604026845638, "percentage": 91.58, "elapsed_time": "1:21:42", "remaining_time": "0:07:30", "throughput": 17783.21, "total_tokens": 87174880}
181
+ {"current_steps": 175, "total_steps": 190, "loss": 0.6403, "lr": 1.0723290831021471e-06, "epoch": 4.617449664429531, "percentage": 92.11, "elapsed_time": "1:22:08", "remaining_time": "0:07:02", "throughput": 17794.12, "total_tokens": 87699168}
182
+ {"current_steps": 175, "total_steps": 190, "eval_loss": 0.4115161895751953, "epoch": 4.617449664429531, "percentage": 92.11, "elapsed_time": "1:22:18", "remaining_time": "0:07:03", "throughput": 17757.9, "total_tokens": 87699168}
183
+ {"current_steps": 176, "total_steps": 190, "loss": 0.3758, "lr": 9.432999922687396e-07, "epoch": 4.644295302013423, "percentage": 92.63, "elapsed_time": "1:23:45", "remaining_time": "0:06:39", "throughput": 17554.24, "total_tokens": 88223360}
184
+ {"current_steps": 177, "total_steps": 190, "loss": 0.2342, "lr": 8.223904402372334e-07, "epoch": 4.671140939597316, "percentage": 93.16, "elapsed_time": "1:24:12", "remaining_time": "0:06:11", "throughput": 17565.85, "total_tokens": 88746912}
185
+ {"current_steps": 178, "total_steps": 190, "loss": 0.2333, "lr": 7.096412360046545e-07, "epoch": 4.697986577181208, "percentage": 93.68, "elapsed_time": "1:24:38", "remaining_time": "0:05:42", "throughput": 17576.73, "total_tokens": 89264288}
186
+ {"current_steps": 179, "total_steps": 190, "loss": 0.4271, "lr": 6.050904343141095e-07, "epoch": 4.724832214765101, "percentage": 94.21, "elapsed_time": "1:25:04", "remaining_time": "0:05:13", "throughput": 17587.8, "total_tokens": 89770272}
187
+ {"current_steps": 180, "total_steps": 190, "loss": 0.3234, "lr": 5.087733228106517e-07, "epoch": 4.751677852348993, "percentage": 94.74, "elapsed_time": "1:25:30", "remaining_time": "0:04:45", "throughput": 17599.28, "total_tokens": 90293344}
188
+ {"current_steps": 181, "total_steps": 190, "loss": 0.2556, "lr": 4.207224101311247e-07, "epoch": 4.778523489932886, "percentage": 95.26, "elapsed_time": "1:25:56", "remaining_time": "0:04:16", "throughput": 17610.73, "total_tokens": 90813536}
189
+ {"current_steps": 182, "total_steps": 190, "loss": 0.1983, "lr": 3.4096741493194197e-07, "epoch": 4.805369127516778, "percentage": 95.79, "elapsed_time": "1:26:22", "remaining_time": "0:03:47", "throughput": 17618.27, "total_tokens": 91300416}
190
+ {"current_steps": 183, "total_steps": 190, "loss": 0.2342, "lr": 2.6953525585855234e-07, "epoch": 4.832214765100671, "percentage": 96.32, "elapsed_time": "1:26:47", "remaining_time": "0:03:19", "throughput": 17630.24, "total_tokens": 91817952}
191
+ {"current_steps": 184, "total_steps": 190, "loss": 0.2582, "lr": 2.064500424599436e-07, "epoch": 4.859060402684563, "percentage": 96.84, "elapsed_time": "1:27:14", "remaining_time": "0:02:50", "throughput": 17640.04, "total_tokens": 92328800}
192
+ {"current_steps": 185, "total_steps": 190, "loss": 0.2364, "lr": 1.517330670512629e-07, "epoch": 4.885906040268456, "percentage": 97.37, "elapsed_time": "1:27:40", "remaining_time": "0:02:22", "throughput": 17650.03, "total_tokens": 92843328}
193
+ {"current_steps": 186, "total_steps": 190, "loss": 0.1979, "lr": 1.0540279752731253e-07, "epoch": 4.912751677852349, "percentage": 97.89, "elapsed_time": "1:28:06", "remaining_time": "0:01:53", "throughput": 17656.46, "total_tokens": 93340480}
194
+ {"current_steps": 187, "total_steps": 190, "loss": 0.6738, "lr": 6.747487112931661e-08, "epoch": 4.939597315436242, "percentage": 98.42, "elapsed_time": "1:28:33", "remaining_time": "0:01:25", "throughput": 17664.53, "total_tokens": 93856128}
195
+ {"current_steps": 188, "total_steps": 190, "loss": 0.1781, "lr": 3.796208916709565e-08, "epoch": 4.966442953020135, "percentage": 98.95, "elapsed_time": "1:28:59", "remaining_time": "0:00:56", "throughput": 17674.52, "total_tokens": 94377760}
196
+ {"current_steps": 189, "total_steps": 190, "loss": 0.2207, "lr": 1.6874412698408836e-08, "epoch": 4.993288590604027, "percentage": 99.47, "elapsed_time": "1:29:26", "remaining_time": "0:00:28", "throughput": 17683.04, "total_tokens": 94890496}
197
+ {"current_steps": 190, "total_steps": 190, "loss": 0.3254, "lr": 4.218959166932268e-09, "epoch": 5.0, "percentage": 100.0, "elapsed_time": "1:29:31", "remaining_time": "0:00:00", "throughput": 17690.65, "total_tokens": 95021568}
198
+ {"current_steps": 190, "total_steps": 190, "epoch": 5.0, "percentage": 100.0, "elapsed_time": "1:30:31", "remaining_time": "0:00:00", "throughput": 17493.25, "total_tokens": 95021568}
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5349bc5c9b24b21d7c574b41a997bd804e980f648221c7244a8918b1f521389e
3
+ size 7800