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update model card README.md
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README.md
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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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- opus_books
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metrics:
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- bleu
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model-index:
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- name: t5-mt-en-fr
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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: opus_books
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type: opus_books
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config: en-fr
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split: train
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args: en-fr
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metrics:
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- name: Bleu
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type: bleu
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value: 6.3847
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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-mt-en-fr
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the opus_books dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.4927
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- Bleu: 6.3847
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- Gen Len: 17.5615
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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: 16
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- eval_batch_size: 16
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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 | Bleu | Gen Len |
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|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
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| 1.7324 | 1.0 | 6355 | 1.5504 | 6.013 | 17.5801 |
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| 1.7308 | 2.0 | 12710 | 1.5209 | 6.2068 | 17.5694 |
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| 1.6891 | 3.0 | 19065 | 1.5039 | 6.2946 | 17.5627 |
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| 1.6755 | 4.0 | 25420 | 1.4950 | 6.3487 | 17.5619 |
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| 1.6828 | 5.0 | 31775 | 1.4927 | 6.3847 | 17.5615 |
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### Framework versions
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- Transformers 4.28.1
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- Pytorch 2.0.0+cu118
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- Datasets 2.12.0
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- Tokenizers 0.13.3
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