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---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- kde4
model-index:
- name: google-t5base-finetuned-iswlt2017-en-to-fr
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. -->
# 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
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