| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| datasets: |
| - opus_books |
| metrics: |
| - bleu |
| model-index: |
| - name: test_t5_small_example_3 |
| results: |
| - task: |
| name: Sequence-to-sequence Language Modeling |
| type: text2text-generation |
| dataset: |
| name: opus_books |
| type: opus_books |
| config: en-fr |
| split: train |
| args: en-fr |
| metrics: |
| - name: Bleu |
| type: bleu |
| value: 6.2099 |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # test_t5_small_example_3 |
|
|
| This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the opus_books dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.5333 |
| - Bleu: 6.2099 |
| - Gen Len: 17.5692 |
| |
| ## Model description |
| |
| More information needed |
| |
| ## Intended uses & limitations |
| |
| More information needed |
| |
| ## Training and evaluation data |
| |
| More information needed |
| |
| ## Training procedure |
| |
| ### Training hyperparameters |
| |
| The following hyperparameters were used during training: |
| - learning_rate: 2e-05 |
| - train_batch_size: 16 |
| - eval_batch_size: 16 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 2 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |
| |:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:| |
| | 1.7061 | 1.0 | 6355 | 1.5458 | 6.1194 | 17.5769 | |
| | 1.7168 | 2.0 | 12710 | 1.5333 | 6.2099 | 17.5692 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.28.0 |
| - Pytorch 2.0.1+cu118 |
| - Datasets 2.12.0 |
| - Tokenizers 0.13.3 |
| |
