---
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: 1.3217
- Bleu: 7.3648
- Gen Len: 17.5145

## 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: 8
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
| 1.542         | 1.0   | 6355  | 1.3460          | 7.1462 | 17.5281 |
| 1.5196        | 2.0   | 12710 | 1.3419          | 7.2241 | 17.5219 |
| 1.5005        | 3.0   | 19065 | 1.3346          | 7.3005 | 17.5137 |
| 1.5083        | 4.0   | 25420 | 1.3298          | 7.3326 | 17.5174 |
| 1.4999        | 5.0   | 31775 | 1.3269          | 7.3337 | 17.5214 |
| 1.4906        | 6.0   | 38130 | 1.3237          | 7.3359 | 17.5185 |
| 1.4944        | 7.0   | 44485 | 1.3223          | 7.3664 | 17.5161 |
| 1.5018        | 8.0   | 50840 | 1.3217          | 7.3648 | 17.5145 |


### Framework versions

- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3