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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_random_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_random_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: 4.8521 |
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- Accuracy: 0.2485 |
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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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| 5.9638 | 1.0 | 6426 | 5.7731 | 0.1802 | |
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| 5.4117 | 2.0 | 12852 | 5.2853 | 0.2093 | |
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| 5.1712 | 3.0 | 19278 | 5.1077 | 0.2239 | |
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| 5.0518 | 4.0 | 25704 | 5.0164 | 0.2307 | |
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| 4.9598 | 5.0 | 32130 | 4.9591 | 0.2361 | |
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| 4.8949 | 6.0 | 38556 | 4.9221 | 0.2403 | |
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| 4.8367 | 7.0 | 44982 | 4.8928 | 0.2431 | |
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| 4.7866 | 8.0 | 51408 | 4.8736 | 0.2459 | |
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| 4.7426 | 9.0 | 57834 | 4.8575 | 0.2472 | |
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| 4.7034 | 10.0 | 64260 | 4.8521 | 0.2485 | |
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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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