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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_53 |
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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_53 |
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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: 1.9183 |
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- Accuracy: 0.5679 |
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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: 53 |
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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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| 2.297 | 1.0 | 15568 | 2.2407 | 0.5113 | |
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| 2.1414 | 2.0 | 31136 | 2.1019 | 0.5349 | |
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| 2.0769 | 3.0 | 46704 | 2.0458 | 0.5440 | |
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| 2.0352 | 4.0 | 62272 | 2.0085 | 0.5512 | |
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| 2.0034 | 5.0 | 77840 | 1.9856 | 0.5555 | |
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| 1.9762 | 6.0 | 93408 | 1.9654 | 0.5584 | |
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| 1.9536 | 7.0 | 108976 | 1.9493 | 0.5618 | |
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| 1.9281 | 8.0 | 124544 | 1.9358 | 0.5642 | |
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| 1.9065 | 9.0 | 140112 | 1.9251 | 0.5664 | |
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| 1.8871 | 10.0 | 155680 | 1.9183 | 0.5679 | |
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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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