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--- |
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base_model: ai-forever/ruT5-base |
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tags: |
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- generated_from_trainer |
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metrics: |
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- bleu |
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model-index: |
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- name: t5-rebuilder |
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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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# t5-rebuilder |
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This model is a fine-tuned version of [ai-forever/ruT5-base](https://huggingface.co/ai-forever/ruT5-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1184 |
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- Bleu: 94.1519 |
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- Chrf: 97.4152 |
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- Gen Len: 13.3872 |
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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: 0.0003 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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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: 3 |
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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 | Bleu | Chrf | Gen Len | |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:| |
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| 0.2957 | 1.0 | 3832 | 0.1915 | 87.926 | 94.6246 | 13.3604 | |
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| 0.1356 | 2.0 | 7664 | 0.1307 | 92.8051 | 96.7011 | 13.3754 | |
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| 0.0626 | 3.0 | 11496 | 0.1184 | 94.1519 | 97.4152 | 13.3872 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.1.2 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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