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--- |
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language: |
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- es |
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- maq |
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license: apache-2.0 |
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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: byt5-base-es_maq |
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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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# byt5-base-es_maq |
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This model is a fine-tuned version of [google/byt5-base](https://huggingface.co/google/byt5-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7257 |
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- Bleu: 9.3405 |
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- Gen Len: 99.8552 |
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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: 16 |
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- eval_batch_size: 16 |
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- seed: 65 |
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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: 10.0 |
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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 | 398 | 0.9986 | 0.0463 | 19.0 | |
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| 1.43 | 2.0 | 796 | 0.8809 | 0.5462 | 19.0 | |
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| 0.9934 | 3.0 | 1194 | 0.8291 | 0.4119 | 19.0 | |
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| 0.8998 | 4.0 | 1592 | 0.7965 | 0.4437 | 19.0 | |
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| 0.8998 | 5.0 | 1990 | 0.7747 | 0.3303 | 19.0 | |
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| 0.851 | 6.0 | 2388 | 0.7562 | 0.3764 | 19.0 | |
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| 0.8139 | 7.0 | 2786 | 0.7415 | 0.3244 | 19.0 | |
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| 0.7865 | 8.0 | 3184 | 0.7341 | 0.4334 | 19.0 | |
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| 0.7767 | 9.0 | 3582 | 0.7294 | 0.3918 | 19.0 | |
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| 0.7767 | 10.0 | 3980 | 0.7257 | 0.3979 | 19.0 | |
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### Framework versions |
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- Transformers 4.27.4 |
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- Pytorch 2.0.0+cu118 |
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- Datasets 2.11.0 |
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- Tokenizers 0.13.3 |
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