t5_small_prelim_emea_enfr
This model is a fine-tuned version of t5-small on the emea dataset. It achieves the following results on the evaluation set:
- Loss: 0.6699
- Bleu: 20.0981
- Gen Len: 14.0674
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 |
|---|---|---|---|---|---|
| 0.8083 | 1.0 | 54629 | 0.6994 | 19.6965 | 14.0689 |
| 0.7941 | 2.0 | 109258 | 0.6699 | 20.0981 | 14.0674 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
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Dataset used to train ethansimrm/t5_small_prelim_emea_enfr
Evaluation results
- Bleu on emeaself-reported20.098