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--- |
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license: apache-2.0 |
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base_model: Karzan/gpt2-walamakan |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: gpt2-walamakan-2 |
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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-walamakan-2 |
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This model is a fine-tuned version of [Karzan/gpt2-walamakan](https://huggingface.co/Karzan/gpt2-walamakan) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 6.7392 |
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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: 3e-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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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 32 |
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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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| 0.523 | 1.0 | 94 | 6.4968 | |
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| 0.5212 | 2.0 | 188 | 6.4501 | |
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| 0.488 | 3.0 | 282 | 6.4814 | |
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| 0.4723 | 4.0 | 376 | 6.5004 | |
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| 0.4452 | 5.0 | 470 | 6.5328 | |
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| 0.4442 | 6.0 | 564 | 6.5507 | |
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| 0.4147 | 7.0 | 658 | 6.5598 | |
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| 0.397 | 8.0 | 752 | 6.5623 | |
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| 0.3868 | 9.0 | 846 | 6.5642 | |
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| 0.3686 | 10.0 | 940 | 6.5713 | |
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| 0.3553 | 11.0 | 1034 | 6.6027 | |
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| 0.338 | 12.0 | 1128 | 6.5953 | |
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| 0.3344 | 13.0 | 1222 | 6.6386 | |
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| 0.315 | 14.0 | 1316 | 6.6202 | |
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| 0.3096 | 15.0 | 1410 | 6.6239 | |
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| 0.2961 | 16.0 | 1504 | 6.6648 | |
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| 0.2899 | 17.0 | 1598 | 6.6663 | |
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| 0.2782 | 18.0 | 1692 | 6.6750 | |
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| 0.2642 | 19.0 | 1786 | 6.6777 | |
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| 0.2541 | 20.0 | 1880 | 6.6807 | |
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| 0.2502 | 21.0 | 1974 | 6.6956 | |
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| 0.2453 | 22.0 | 2068 | 6.7099 | |
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| 0.2485 | 23.0 | 2162 | 6.7159 | |
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| 0.2342 | 24.0 | 2256 | 6.7149 | |
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| 0.2226 | 25.0 | 2350 | 6.7288 | |
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| 0.22 | 26.0 | 2444 | 6.7302 | |
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| 0.2172 | 27.0 | 2538 | 6.7315 | |
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| 0.2185 | 28.0 | 2632 | 6.7374 | |
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| 0.2131 | 29.0 | 2726 | 6.7361 | |
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| 0.2089 | 30.0 | 2820 | 6.7392 | |
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### Framework versions |
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- Transformers 4.32.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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