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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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- summarization |
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- generated_from_trainer |
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metrics: |
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- rouge |
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model-index: |
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- name: mt5-small-finetuned-amazon-en-es |
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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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# mt5-small-finetuned-amazon-en-es |
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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.2159 |
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- Rouge1: 17.3504 |
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- Rouge2: 8.219 |
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- Rougel: 16.7598 |
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- Rougelsum: 16.9027 |
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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: 5.6e-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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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 8 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:| |
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| 5.8554 | 1.0 | 1541 | 3.4109 | 14.0843 | 7.0483 | 13.7876 | 13.7424 | |
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| 3.5936 | 2.0 | 3082 | 3.3110 | 16.9351 | 8.9452 | 16.1951 | 16.2707 | |
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| 3.2943 | 3.0 | 4623 | 3.2440 | 18.9749 | 10.2572 | 18.3207 | 18.3447 | |
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| 3.1378 | 4.0 | 6164 | 3.2157 | 17.5435 | 9.5501 | 16.976 | 16.9846 | |
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| 3.0374 | 5.0 | 7705 | 3.2017 | 17.2499 | 8.6003 | 16.8574 | 16.8485 | |
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| 2.9644 | 6.0 | 9246 | 3.1948 | 16.7856 | 7.7093 | 16.3617 | 16.4731 | |
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| 2.921 | 7.0 | 10787 | 3.2160 | 18.1708 | 8.8001 | 17.4812 | 17.5949 | |
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| 2.8907 | 8.0 | 12328 | 3.2159 | 17.3504 | 8.219 | 16.7598 | 16.9027 | |
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### Framework versions |
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- Transformers 4.46.2 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.3 |
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