---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- kde4
model-index:
- name: google-t5base-finetuned-iswlt2017-en-to-fr
  results: []
---

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# google-t5base-finetuned-iswlt2017-en-to-fr

This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the kde4 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7606

## 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: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.9744        | 1.0   | 5912  | 0.8201          |
| 0.8671        | 2.0   | 11824 | 0.7727          |
| 0.8578        | 3.0   | 17736 | 0.7606          |


### Framework versions

- Transformers 4.30.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.13.3