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--- |
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library_name: transformers |
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base_model: ai-forever/rugpt3small_based_on_gpt2 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: aristotle_csv3 |
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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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# aristotle_csv3 |
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This model is a fine-tuned version of [ai-forever/rugpt3small_based_on_gpt2](https://huggingface.co/ai-forever/rugpt3small_based_on_gpt2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.5019 |
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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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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 32 |
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- optimizer: Use OptimizerNames.ADAFACTOR and the args are: |
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No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 30 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 4.1139 | 1.0 | 203 | 3.7183 | |
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| 3.5598 | 2.0 | 406 | 3.4522 | |
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| 3.2762 | 3.0 | 609 | 3.3321 | |
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| 3.0039 | 4.0 | 812 | 3.3035 | |
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| 2.7239 | 5.0 | 1015 | 3.2801 | |
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| 2.4871 | 6.0 | 1218 | 3.3728 | |
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| 2.277 | 7.0 | 1421 | 3.4348 | |
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| 2.1079 | 8.0 | 1624 | 3.5019 | |
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### Framework versions |
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- Transformers 4.48.3 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.3.0 |
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- Tokenizers 0.21.0 |
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