End of training

README.md

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+---
+library_name: transformers
+license: other
+base_model: facebook/opt-125m
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: d8175b00ab4e2c8207d05762af6eb373
+  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. -->
+
+# d8175b00ab4e2c8207d05762af6eb373
+
+This model is a fine-tuned version of [facebook/opt-125m](https://huggingface.co/facebook/opt-125m) on the contemmcm/cls_mmlu dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.5393
+- Data Size: 1.0
+- Epoch Runtime: 33.5713
+- Accuracy: 0.2912
+- F1 Macro: 0.2868
+
+## 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: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- total_train_batch_size: 32
+- total_eval_batch_size: 32
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: constant
+- num_epochs: 50
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Data Size | Epoch Runtime | Accuracy | F1 Macro |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------------:|:--------:|:--------:|
+| No log        | 0     | 0    | 1.6096          | 0         | 2.1114        | 0.2527   | 0.2025   |
+| No log        | 1     | 438  | 1.5600          | 0.0078    | 2.4108        | 0.2580   | 0.2248   |
+| No log        | 2     | 876  | 1.5458          | 0.0156    | 2.4349        | 0.2520   | 0.1787   |
+| No log        | 3     | 1314 | 1.4634          | 0.0312    | 3.0744        | 0.2560   | 0.1629   |
+| No log        | 4     | 1752 | 1.4080          | 0.0625    | 4.3402        | 0.2759   | 0.1933   |
+| 0.0798        | 5     | 2190 | 1.4082          | 0.125     | 6.1891        | 0.2434   | 0.1656   |
+| 0.1827        | 6     | 2628 | 1.3963          | 0.25      | 10.0084       | 0.2713   | 0.1821   |
+| 1.3727        | 7     | 3066 | 1.3922          | 0.5       | 18.1110       | 0.2779   | 0.2156   |
+| 1.3235        | 8.0   | 3504 | 1.4183          | 1.0       | 35.3584       | 0.2626   | 0.2452   |
+| 0.9911        | 9.0   | 3942 | 1.7998          | 1.0       | 33.1053       | 0.2859   | 0.2546   |
+| 0.629         | 10.0  | 4380 | 2.2739          | 1.0       | 33.6909       | 0.2979   | 0.2779   |
+| 0.4356        | 11.0  | 4818 | 2.5393          | 1.0       | 33.5713       | 0.2912   | 0.2868   |
+
+
+### Framework versions
+
+- Transformers 4.57.0
+- Pytorch 2.8.0+cu128
+- Datasets 4.3.0
+- Tokenizers 0.22.1

config.json

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+{
+  "_remove_final_layer_norm": false,
+  "activation_dropout": 0.0,
+  "activation_function": "relu",
+  "architectures": [
+    "OPTForSequenceClassification"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 2,
+  "do_layer_norm_before": true,
+  "dropout": 0.1,
+  "dtype": "float32",
+  "enable_bias": true,
+  "eos_token_id": 2,
+  "ffn_dim": 3072,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2",
+    "3": "LABEL_3"
+  },
+  "init_std": 0.02,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2,
+    "LABEL_3": 3
+  },
+  "layer_norm_elementwise_affine": true,
+  "layerdrop": 0.0,
+  "max_position_embeddings": 2048,
+  "model_type": "opt",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "prefix": "</s>",
+  "problem_type": "single_label_classification",
+  "transformers_version": "4.57.0",
+  "use_cache": true,
+  "vocab_size": 50272,
+  "word_embed_proj_dim": 768
+}

model.safetensors

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+oid sha256:d397670c26d112c9368cb31bb6723f755732189afefacdd7c7a70ba104606d37
+size 500991976

special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

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+{
+  "add_bos_token": true,
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "1": {
+      "content": "<pad>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "</s>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "errors": "replace",
+  "extra_special_tokens": {},
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<pad>",
+  "tokenizer_class": "GPT2Tokenizer",
+  "unk_token": "</s>"
+}

training_args.bin

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+size 5969