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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: google/mt5-small |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: lr_3e-06_batch_4_epoch_5_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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# lr_3e-06_batch_4_epoch_5_model |
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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.9163 |
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- Rouge-1: 17.3664 |
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- Rouge-2: 5.7503 |
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- Rouge-l: 16.1687 |
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- Gen Len: 11.7807 |
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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: 3e-06 |
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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: 5 |
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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 | Rouge-1 | Rouge-2 | Rouge-l | Gen Len | |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:-------:| |
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| 6.5716 | 1.0 | 2714 | 4.6237 | 15.8545 | 4.4526 | 14.2598 | 18.8185 | |
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| 5.5876 | 2.0 | 5428 | 4.1738 | 17.5525 | 5.4549 | 15.7657 | 16.4976 | |
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| 5.3214 | 3.0 | 8142 | 3.9089 | 17.0725 | 5.5016 | 15.8996 | 11.4751 | |
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| 5.2179 | 4.0 | 10856 | 3.9146 | 17.2716 | 5.7367 | 16.1091 | 11.7639 | |
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| 5.0379 | 5.0 | 13570 | 3.9163 | 17.3664 | 5.7503 | 16.1687 | 11.7807 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.1.0 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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