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--- |
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license: mit |
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base_model: gpt2 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: text_classification_gpt2_1 |
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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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# text_classification_gpt2_1 |
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4571 |
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- Accuracy: 0.792 |
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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: 5e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.01 |
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- num_epochs: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.9088 | 0.1 | 625 | 0.6229 | 0.662 | |
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| 1.0188 | 0.2 | 1250 | 0.5429 | 0.7092 | |
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| 0.9781 | 0.3 | 1875 | 0.5086 | 0.7556 | |
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| 0.6919 | 0.4 | 2500 | 0.4571 | 0.792 | |
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| 0.002 | 0.5 | 3125 | 0.5278 | 0.7892 | |
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| 1.6834 | 0.6 | 3750 | 0.5348 | 0.8104 | |
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| 0.0436 | 0.7 | 4375 | 0.4732 | 0.826 | |
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| 0.0332 | 0.8 | 5000 | 0.4995 | 0.8252 | |
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| 0.9907 | 0.9 | 5625 | 0.4764 | 0.8344 | |
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| 0.9651 | 1.0 | 6250 | 0.4809 | 0.8364 | |
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### Framework versions |
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- Transformers 4.40.1 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
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