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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- tatoeba |
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metrics: |
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- bleu |
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model-index: |
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- name: t5-small-finetuned-es-to-pt |
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results: |
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- task: |
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name: Sequence-to-sequence Language Modeling |
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type: text2text-generation |
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dataset: |
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name: tatoeba |
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type: tatoeba |
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args: es-pt |
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metrics: |
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- name: Bleu |
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type: bleu |
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value: 15.0473 |
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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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# t5-small-finetuned-es-to-pt |
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the tatoeba dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.5557 |
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- Bleu: 15.0473 |
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- Gen Len: 15.8693 |
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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: 3 |
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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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| 2.2027 | 1.0 | 1907 | 1.7884 | 11.6192 | 15.8829 | |
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| 1.9296 | 2.0 | 3814 | 1.6034 | 14.201 | 15.8935 | |
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| 1.8364 | 3.0 | 5721 | 1.5557 | 15.0473 | 15.8693 | |
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### Framework versions |
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- Transformers 4.17.0 |
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- Pytorch 1.10.0+cu111 |
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- Datasets 1.18.4 |
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- Tokenizers 0.11.6 |
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