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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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base_model: EleutherAI/pythia-70m |
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model-index: |
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- name: polish_wikipedia_model |
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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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# polish_wikipedia_model |
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This model is a fine-tuned version of [EleutherAI/pythia-70m](https://huggingface.co/EleutherAI/pythia-70m) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0319 |
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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: 0.0002 |
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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 | 133 | 0.4322 | |
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| No log | 2.0 | 266 | 0.3766 | |
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| No log | 3.0 | 399 | 0.3599 | |
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| 0.4669 | 4.0 | 532 | 0.3247 | |
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| 0.4669 | 5.0 | 665 | 0.2830 | |
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| 0.4669 | 6.0 | 798 | 0.2628 | |
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| 0.4669 | 7.0 | 931 | 0.2573 | |
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| 0.3481 | 8.0 | 1064 | 0.2443 | |
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| 0.3481 | 9.0 | 1197 | 0.1904 | |
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| 0.3481 | 10.0 | 1330 | 0.1799 | |
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| 0.3481 | 11.0 | 1463 | 0.1475 | |
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| 0.2502 | 12.0 | 1596 | 0.1292 | |
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| 0.2502 | 13.0 | 1729 | 0.1168 | |
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| 0.2502 | 14.0 | 1862 | 0.1103 | |
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| 0.2502 | 15.0 | 1995 | 0.0989 | |
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| 0.1572 | 16.0 | 2128 | 0.0890 | |
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| 0.1572 | 17.0 | 2261 | 0.0736 | |
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| 0.1572 | 18.0 | 2394 | 0.0672 | |
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| 0.1007 | 19.0 | 2527 | 0.0592 | |
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| 0.1007 | 20.0 | 2660 | 0.0550 | |
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| 0.1007 | 21.0 | 2793 | 0.0517 | |
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| 0.1007 | 22.0 | 2926 | 0.0497 | |
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| 0.0674 | 23.0 | 3059 | 0.0458 | |
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| 0.0674 | 24.0 | 3192 | 0.0421 | |
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| 0.0674 | 25.0 | 3325 | 0.0394 | |
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| 0.0674 | 26.0 | 3458 | 0.0378 | |
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| 0.0491 | 27.0 | 3591 | 0.0357 | |
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| 0.0491 | 28.0 | 3724 | 0.0337 | |
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| 0.0491 | 29.0 | 3857 | 0.0323 | |
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| 0.0491 | 30.0 | 3990 | 0.0319 | |
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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 2.19.2 |
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- Tokenizers 0.19.1 |
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