---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
datasets:
- kde4
model-index:
- name: t5-small-finetuned-en-to-de-accelerate
  results: []
metrics:
- sacrebleu
pipeline_tag: translation
language:
- en
- de
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# T5-small-finetuned-en-to-de-accelerate translator

This model is a fine-tuned version of [t5-small](https://huggingface.co./t5-small) on the kde4 dataset.
It achieves the following results on the evaluation set:
- SacreBELU : 41.46 

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure 
    Accelerate

### Training hyperparameters

The following hyperparameters were used during training:
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: AdamW with lr=5e-5
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results

| Training Loss       | Epoch | Validation Loss    | BLEU score    |
|:-------------------:|:-----:|:------------------:|:-------------:|
| 1.5908938944803344  | 1.0   | 1.2350984811782837 | 39.82         |
| 1.3603184403975805  | 2.0   | 1.1676584482192993 | 41.05         |
| 1.3098205064204005  | 3.0   | 1.1546192169189453 | 41.46         |


Graph : https://wandb.ai/tchoud8/t5-finetuned-en-to-fr-accelerate/runs/bnzjma7v/workspace?workspace=user-tchoud8

### Framework versions

- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3