---
license: apache-2.0
base_model: t5-base
tags:
- generated_from_keras_callback
model-index:
- name: CapitainData/dyu-fr-t5-base_v3
  results: []
---

<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->

# CapitainData/dyu-fr-t5-base_v3

This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 2.3570
- Validation Loss: 2.4646
- Epoch: 11

## 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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 3.3233     | 2.8819          | 0     |
| 3.0679     | 2.7736          | 1     |
| 2.9557     | 2.7031          | 2     |
| 2.8537     | 2.6517          | 3     |
| 2.7672     | 2.6141          | 4     |
| 2.6959     | 2.5790          | 5     |
| 2.6234     | 2.5559          | 6     |
| 2.5663     | 2.5288          | 7     |
| 2.5025     | 2.5099          | 8     |
| 2.4535     | 2.4976          | 9     |
| 2.3996     | 2.4791          | 10    |
| 2.3570     | 2.4646          | 11    |


### Framework versions

- Transformers 4.38.2
- TensorFlow 2.16.1
- Datasets 2.18.0
- Tokenizers 0.15.2