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--- |
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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: GPT2_more_function_67 |
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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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# GPT2_more_function_67 |
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This model was trained from scratch on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 4.3501 |
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- Accuracy: 0.2680 |
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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: 0.0001 |
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- train_batch_size: 128 |
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- eval_batch_size: 128 |
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- seed: 67 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 10000 |
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- num_epochs: 10 |
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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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| 5.634 | 1.0 | 6417 | 5.4033 | 0.1902 | |
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| 4.9862 | 2.0 | 12834 | 4.8415 | 0.2243 | |
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| 4.7151 | 3.0 | 19251 | 4.6391 | 0.2410 | |
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| 4.5832 | 4.0 | 25668 | 4.5397 | 0.2486 | |
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| 4.4844 | 5.0 | 32085 | 4.4759 | 0.2552 | |
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| 4.4117 | 6.0 | 38502 | 4.4317 | 0.2589 | |
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| 4.3505 | 7.0 | 44919 | 4.4006 | 0.2628 | |
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| 4.2941 | 8.0 | 51336 | 4.3753 | 0.2652 | |
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| 4.2479 | 9.0 | 57753 | 4.3582 | 0.2669 | |
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| 4.2036 | 10.0 | 64170 | 4.3501 | 0.2680 | |
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### Framework versions |
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- Transformers 4.30.2 |
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- Pytorch 2.9.1+cu128 |
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- Datasets 4.1.1 |
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- Tokenizers 0.13.3 |
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