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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: my_t5_small_test |
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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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# my_t5_small_test |
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This model is a fine-tuned version of [ai-forever/ruT5-base](https://huggingface.co/ai-forever/ruT5-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.2898 |
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- Bleu: 5.3699 |
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- Gen Len: 16.6005 |
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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: 2e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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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: 10 |
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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 | Gen Len | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:| |
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| No log | 1.0 | 114 | 2.7730 | 3.0092 | 15.861 | |
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| No log | 2.0 | 228 | 2.5655 | 3.9211 | 16.0397 | |
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| No log | 3.0 | 342 | 2.4573 | 4.7281 | 16.4218 | |
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| No log | 4.0 | 456 | 2.3735 | 5.0843 | 16.2531 | |
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| 3.5284 | 5.0 | 570 | 2.3490 | 5.7483 | 16.5533 | |
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| 3.5284 | 6.0 | 684 | 2.3254 | 5.6331 | 16.4963 | |
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| 3.5284 | 7.0 | 798 | 2.3095 | 5.6877 | 16.6898 | |
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| 3.5284 | 8.0 | 912 | 2.2949 | 5.6496 | 16.5583 | |
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| 2.6344 | 9.0 | 1026 | 2.2913 | 5.4792 | 16.6452 | |
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| 2.6344 | 10.0 | 1140 | 2.2898 | 5.3699 | 16.6005 | |
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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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