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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: gpt2 |
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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 |
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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: 0.2981 |
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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: 8 |
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- eval_batch_size: 8 |
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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: linear |
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- num_epochs: 30 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 1.0 | 6 | 1.2395 | |
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| No log | 2.0 | 12 | 1.0996 | |
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| No log | 3.0 | 18 | 0.9962 | |
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| No log | 4.0 | 24 | 0.8884 | |
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| No log | 5.0 | 30 | 0.8230 | |
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| No log | 6.0 | 36 | 0.7659 | |
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| No log | 7.0 | 42 | 0.7012 | |
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| No log | 8.0 | 48 | 0.6511 | |
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| No log | 9.0 | 54 | 0.6197 | |
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| No log | 10.0 | 60 | 0.5812 | |
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| No log | 11.0 | 66 | 0.5467 | |
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| No log | 12.0 | 72 | 0.5068 | |
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| No log | 13.0 | 78 | 0.4874 | |
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| No log | 14.0 | 84 | 0.4649 | |
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| No log | 15.0 | 90 | 0.4498 | |
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| No log | 16.0 | 96 | 0.4297 | |
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| No log | 17.0 | 102 | 0.4009 | |
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| No log | 18.0 | 108 | 0.3867 | |
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| No log | 19.0 | 114 | 0.3814 | |
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| No log | 20.0 | 120 | 0.3634 | |
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| No log | 21.0 | 126 | 0.3476 | |
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| No log | 22.0 | 132 | 0.3386 | |
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| No log | 23.0 | 138 | 0.3316 | |
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| No log | 24.0 | 144 | 0.3207 | |
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| No log | 25.0 | 150 | 0.3140 | |
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| No log | 26.0 | 156 | 0.3073 | |
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| No log | 27.0 | 162 | 0.3028 | |
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| No log | 28.0 | 168 | 0.3011 | |
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| No log | 29.0 | 174 | 0.2986 | |
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| No log | 30.0 | 180 | 0.2981 | |
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### Framework versions |
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- Transformers 4.41.1 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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