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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-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: mt5-base-spanish-yoremnokki |
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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-base-spanish-yoremnokki |
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This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.8910 |
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- Bleu: 20.9873 |
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- Gen Len: 12.2218 |
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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: 5e-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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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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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: 7 |
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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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| 2.9865 | 0.9997 | 1728 | 2.4599 | 19.12 | 12.2553 | |
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| 2.5084 | 2.0 | 3457 | 2.1867 | 20.9775 | 12.815 | |
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| 2.2879 | 2.9997 | 5185 | 2.0527 | 20.9572 | 12.537 | |
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| 2.1599 | 4.0 | 6914 | 1.9781 | 21.1008 | 12.4693 | |
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| 2.1032 | 4.9997 | 8642 | 1.9272 | 21.1189 | 12.4292 | |
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| 2.0649 | 6.0 | 10371 | 1.8999 | 20.9375 | 12.2177 | |
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| 1.9988 | 6.9980 | 12096 | 1.8910 | 20.9873 | 12.2218 | |
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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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