metadata
library_name: transformers
license: apache-2.0
base_model: Mat17892/t5small_enfr_opus
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: t5small_enfr_opus
results: []
t5small_enfr_opus
This model is a fine-tuned version of Mat17892/t5small_enfr_opus on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.4839
- Bleu: 6.4
- Gen Len: 17.5697
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 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: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 1.7415 | 1.0 | 6355 | 1.5201 | 6.1792 | 17.5724 |
| 1.6892 | 2.0 | 12710 | 1.4981 | 6.2914 | 17.572 |
| 1.6825 | 3.0 | 19065 | 1.4873 | 6.3889 | 17.5701 |
| 1.6803 | 4.0 | 25420 | 1.4839 | 6.4 | 17.5697 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3