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---
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: []
---
<!-- 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. -->
# t5small_enfr_opus
This model is a fine-tuned version of [Mat17892/t5small_enfr_opus](https://huggingface.co/Mat17892/t5small_enfr_opus) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7526
- Bleu: 9.132
- Gen Len: 18.2648
## 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: 2
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
| 0.8635 | 1.0 | 7500 | 0.7530 | 9.1424 | 18.2627 |
| 0.8555 | 2.0 | 15000 | 0.7526 | 9.132 | 18.2648 |
### Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
|