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--- |
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license: apache-2.0 |
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base_model: t5-small |
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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: my_awesome_opus_books_model |
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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: 6.1787 |
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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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# my_awesome_opus_books_model |
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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: 1.5208 |
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- Bleu: 6.1787 |
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- Gen Len: 17.5934 |
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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: 64 |
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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: 10 |
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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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| 1.9112 | 1.0 | 1589 | 1.6537 | 5.2795 | 17.6478 | |
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| 1.8421 | 2.0 | 3178 | 1.6098 | 5.6138 | 17.6216 | |
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| 1.8012 | 3.0 | 4767 | 1.5801 | 5.7983 | 17.6147 | |
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| 1.776 | 4.0 | 6356 | 1.5611 | 5.9587 | 17.6061 | |
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| 1.7581 | 5.0 | 7945 | 1.5474 | 6.0336 | 17.5977 | |
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| 1.7416 | 6.0 | 9534 | 1.5368 | 6.0882 | 17.5966 | |
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| 1.7261 | 7.0 | 11123 | 1.5297 | 6.1366 | 17.5969 | |
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| 1.7279 | 8.0 | 12712 | 1.5245 | 6.1442 | 17.5948 | |
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| 1.7112 | 9.0 | 14301 | 1.5217 | 6.1715 | 17.5931 | |
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| 1.7162 | 10.0 | 15890 | 1.5208 | 6.1787 | 17.5934 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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