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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_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_random_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: 4.8501 |
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- Accuracy: 0.2494 |
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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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| 5.9648 | 1.0 | 6426 | 5.7752 | 0.1790 | |
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| 5.4131 | 2.0 | 12852 | 5.2875 | 0.2089 | |
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| 5.1686 | 3.0 | 19278 | 5.1053 | 0.2241 | |
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| 5.0478 | 4.0 | 25704 | 5.0146 | 0.2328 | |
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| 4.9577 | 5.0 | 32130 | 4.9593 | 0.2377 | |
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| 4.8934 | 6.0 | 38556 | 4.9200 | 0.2411 | |
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| 4.8346 | 7.0 | 44982 | 4.8911 | 0.2447 | |
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| 4.7873 | 8.0 | 51408 | 4.8704 | 0.2465 | |
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| 4.7405 | 9.0 | 57834 | 4.8566 | 0.2485 | |
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| 4.7008 | 10.0 | 64260 | 4.8501 | 0.2494 | |
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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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