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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: 2.2583 |
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- Bleu: 5.4572 |
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- Gen Len: 16.7742 |
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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 | 2.4430 | 4.6333 | 16.5434 | |
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| No log | 2.0 | 228 | 2.3997 | 5.0426 | 16.397 | |
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| No log | 3.0 | 342 | 2.3420 | 5.4095 | 16.4839 | |
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| No log | 4.0 | 456 | 2.3057 | 5.1802 | 16.5782 | |
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| 2.7713 | 5.0 | 570 | 2.2985 | 5.6607 | 16.5831 | |
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| 2.7713 | 6.0 | 684 | 2.2824 | 5.5811 | 16.5757 | |
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| 2.7713 | 7.0 | 798 | 2.2759 | 6.1988 | 16.7221 | |
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| 2.7713 | 8.0 | 912 | 2.2611 | 5.6654 | 16.7097 | |
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| 2.5304 | 9.0 | 1026 | 2.2586 | 5.839 | 16.8065 | |
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| 2.5304 | 10.0 | 1140 | 2.2583 | 5.4572 | 16.7742 | |
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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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