Training in progress, epoch 1

README.md

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+---
+library_name: transformers
+license: mit
+base_model: openai-gpt
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- recall
+- precision
+model-index:
+- name: gpt1_sst2_right
+  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. -->
+
+# gpt1_sst2_right
+
+This model is a fine-tuned version of [openai-gpt](https://huggingface.co/openai-gpt) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4037
+- Accuracy: 0.9232
+- Recall: 0.9459
+- Precision: 0.9071
+
+## 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: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- 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
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy | Recall | Precision |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|
+| 0.2039        | 1.0   | 4210  | 0.2595          | 0.9266   | 0.9189 | 0.9358    |
+| 0.1485        | 2.0   | 8420  | 0.3060          | 0.9220   | 0.9459 | 0.9052    |
+| 0.0913        | 3.0   | 12630 | 0.3350          | 0.9289   | 0.9324 | 0.9283    |
+| 0.0572        | 4.0   | 16840 | 0.4037          | 0.9232   | 0.9459 | 0.9071    |
+
+
+### Framework versions
+
+- Transformers 4.47.1
+- Pytorch 2.5.1+cu124
+- Datasets 3.2.0
+- Tokenizers 0.21.0

added_tokens.json

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+{
+  "<pad>": 40478
+}

config.json

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+{
+  "_name_or_path": "openai-gpt",
+  "afn": "gelu",
+  "architectures": [
+    "OpenAIGPTForSequenceClassification"
+  ],
+  "attn_pdrop": 0.1,
+  "embd_pdrop": 0.1,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "model_type": "openai-gpt",
+  "n_ctx": 512,
+  "n_embd": 768,
+  "n_head": 12,
+  "n_layer": 12,
+  "n_positions": 512,
+  "n_special": 0,
+  "pad_token_id": 40478,
+  "predict_special_tokens": true,
+  "problem_type": "single_label_classification",
+  "resid_pdrop": 0.1,
+  "summary_activation": null,
+  "summary_first_dropout": 0.1,
+  "summary_proj_to_labels": true,
+  "summary_type": "cls_index",
+  "summary_use_proj": true,
+  "task_specific_params": {
+    "text-generation": {
+      "do_sample": true,
+      "max_length": 50
+    }
+  },
+  "torch_dtype": "float32",
+  "transformers_version": "4.47.1",
+  "vocab_size": 40479
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:d2be230eb964b8a2a68d839594743fbd35e26c0bd65c70c1ee4651bcecad7ddc
+size 466163240

special_tokens_map.json

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+{
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": "<unk>"
+}

tokenizer_config.json

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+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "40478": {
+      "content": "<pad>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "clean_up_tokenization_spaces": false,
+  "extra_special_tokens": {},
+  "model_max_length": 512,
+  "pad_token": "<pad>",
+  "padding_side": "right",
+  "tokenizer_class": "OpenAIGPTTokenizer",
+  "truncation_side": "right",
+  "unk_token": "<unk>"
+}

training_args.bin

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+size 5304