metadata
library_name: transformers
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: t5-base-en-fr
results: []
t5-base-en-fr
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1684
- Bleu: 8.8501
- Gen Len: 18.2386
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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 1.3547 | 1.0 | 6355 | 1.1889 | 8.6901 | 18.2363 |
| 1.3239 | 2.0 | 12710 | 1.1725 | 8.7909 | 18.2379 |
| 1.2879 | 3.0 | 19065 | 1.1684 | 8.8501 | 18.2386 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.6.0+cu124
- Datasets 3.4.1
- Tokenizers 0.21.1