| | --- |
| | license: apache-2.0 |
| | base_model: t5-small |
| | tags: |
| | - generated_from_trainer |
| | datasets: |
| | - opus_books |
| | metrics: |
| | - bleu |
| | model-index: |
| | - name: my_awesome_opus_books_model |
| | 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: 5.7474 |
| | --- |
| | |
| | <!-- 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. --> |
| |
|
| | # my_awesome_opus_books_model |
| |
|
| | 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: 1.6019 |
| | - Bleu: 5.7474 |
| | - Gen Len: 17.5891 |
| | |
| | ## 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 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |
| | |:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:| |
| | | 1.8532 | 1.0 | 6355 | 1.6258 | 5.567 | 17.5986 | |
| | | 1.8262 | 2.0 | 12710 | 1.6019 | 5.7474 | 17.5891 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.31.0 |
| | - Pytorch 2.0.1+cu118 |
| | - Datasets 2.14.4 |
| | - Tokenizers 0.13.3 |
| | |
