Model save

README.md

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+---
+library_name: transformers
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: strict_balanced_cf_seed-63_1e-3
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# strict_balanced_cf_seed-63_1e-3
+
+This model was trained from scratch on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.1862
+- Accuracy: 0.4012
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.001
+- train_batch_size: 32
+- eval_batch_size: 64
+- seed: 63
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 256
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 32000
+- num_epochs: 20.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step  | Validation Loss | Accuracy |
+|:-------------:|:-------:|:-----:|:---------------:|:--------:|
+| 5.9731        | 0.9998  | 1486  | 4.4109          | 0.2939   |
+| 4.2997        | 1.9997  | 2972  | 3.9113          | 0.3321   |
+| 3.6863        | 2.9997  | 4458  | 3.6333          | 0.3565   |
+| 3.4969        | 3.9996  | 5944  | 3.4726          | 0.3713   |
+| 3.2641        | 4.9995  | 7430  | 3.3771          | 0.3800   |
+| 3.1935        | 5.9994  | 8916  | 3.3143          | 0.3861   |
+| 3.0853        | 6.9993  | 10402 | 3.2722          | 0.3901   |
+| 3.0449        | 7.9999  | 11889 | 3.2485          | 0.3926   |
+| 2.9853        | 8.9998  | 13375 | 3.2332          | 0.3941   |
+| 2.9595        | 9.9997  | 14861 | 3.2198          | 0.3959   |
+| 2.9233        | 10.9997 | 16347 | 3.2073          | 0.3974   |
+| 2.9006        | 11.9996 | 17833 | 3.2055          | 0.3977   |
+| 2.8802        | 12.9995 | 19319 | 3.2030          | 0.3983   |
+| 2.8606        | 13.9994 | 20805 | 3.1952          | 0.3993   |
+| 2.8504        | 14.9993 | 22291 | 3.1972          | 0.3993   |
+| 2.8315        | 15.9999 | 23778 | 3.1882          | 0.4003   |
+| 2.8315        | 16.9998 | 25264 | 3.1864          | 0.4007   |
+| 2.8104        | 17.9997 | 26750 | 3.1891          | 0.4008   |
+| 2.8207        | 18.9997 | 28236 | 3.1880          | 0.4006   |
+| 2.7999        | 19.9982 | 29720 | 3.1862          | 0.4012   |
+
+
+### Framework versions
+
+- Transformers 4.46.2
+- Pytorch 2.5.1+cu124
+- Datasets 3.2.0
+- Tokenizers 0.20.0

added_tokens.json

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+{
+  "<|endoftext|>": 32768
+}

config.json

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+{
+  "_name_or_path": "models/strict_balanced_cf_seed-63_1e-3",
+  "_remove_final_layer_norm": false,
+  "activation_dropout": 0.0,
+  "activation_function": "relu",
+  "architectures": [
+    "OPTForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "do_layer_norm_before": true,
+  "dropout": 0.1,
+  "enable_bias": true,
+  "eos_token_id": 1,
+  "ffn_dim": 3072,
+  "hidden_size": 768,
+  "init_std": 0.02,
+  "layer_norm_elementwise_affine": true,
+  "layerdrop": 0.0,
+  "max_position_embeddings": 256,
+  "model_type": "opt",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "prefix": "<s>",
+  "torch_dtype": "float32",
+  "transformers_version": "4.46.2",
+  "use_cache": true,
+  "vocab_size": 32768,
+  "word_embed_proj_dim": 768
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.46.2"
+}

model.safetensors

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+oid sha256:d142da417feced6fa6d40efb789695114e3ad6887aae94a09b05e2023709c9bf
+size 441702288

special_tokens_map.json

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+{
+  "bos_token": "<|endoftext|>",
+  "eos_token": "<|endoftext|>",
+  "pad_token": "<pad>",
+  "unk_token": "<|endoftext|>"
+}

tokenizer_config.json

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+{
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<pad>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+    "2": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+    "32768": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<|endoftext|>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|endoftext|>",
+  "max_length": null,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_to_multiple_of": null,
+  "pad_token": "<pad>",
+  "pad_token_type_id": 0,
+  "padding_side": "right",
+  "tokenizer_class": "GPT2Tokenizer",
+  "unk_token": "<|endoftext|>"
+}

training_args.bin

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+size 5368