End of training
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- model.safetensors +1 -1
README.md
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---
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library_name: transformers
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license: mit
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base_model: openai-gpt
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tags:
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- generated_from_trainer
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model-index:
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- name: gpt_1_sequence_classification_finetune
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# gpt_1_sequence_classification_finetune
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This model is a fine-tuned version of [openai-gpt](https://huggingface.co/openai-gpt) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0383
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 3.4479420247518066e-05
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- train_batch_size: 64
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- eval_batch_size: 64
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 15
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.0679 | 1.0 | 12 | 0.0716 |
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| 0.0463 | 2.0 | 24 | 0.0525 |
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| 0.0507 | 3.0 | 36 | 0.0455 |
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| 0.0448 | 4.0 | 48 | 0.0469 |
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| 0.0428 | 5.0 | 60 | 0.0453 |
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| 0.0409 | 6.0 | 72 | 0.0403 |
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| 0.0319 | 7.0 | 84 | 0.0318 |
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| 0.0176 | 8.0 | 96 | 0.0263 |
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| 0.0258 | 9.0 | 108 | 0.0338 |
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| 0.0194 | 10.0 | 120 | 0.0383 |
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### Framework versions
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- Transformers 4.49.0
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- Pytorch 2.6.0
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- Datasets 3.4.0
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- Tokenizers 0.21.1
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 466163240
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version https://git-lfs.github.com/spec/v1
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size 466163240
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