---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emea
metrics:
- bleu
model-index:
- name: t5_small_prelim_emea_enfr
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: emea
      type: emea
      config: en-fr
      split: train
      args: en-fr
    metrics:
    - name: Bleu
      type: bleu
      value: 20.0981
---

<!-- 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. -->

# t5_small_prelim_emea_enfr

This model is a fine-tuned version of [t5-small](https://huggingface.co/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