---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_keras_callback
model-index:
- name: dyu-fr-t5-small
  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. -->

# dyu-fr-t5-small

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 2.7460
- Validation Loss: 2.7296
- Epoch: 24

## 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 |
|:----------:|:---------------:|:-----:|
| 3.6901     | 3.2495          | 0     |
| 3.4675     | 3.1435          | 1     |
| 3.3768     | 3.0836          | 2     |
| 3.3150     | 3.0325          | 3     |
| 3.2568     | 2.9926          | 4     |
| 3.2142     | 2.9639          | 5     |
| 3.1743     | 2.9341          | 6     |
| 3.1376     | 2.9166          | 7     |
| 3.1019     | 2.8968          | 8     |
| 3.0716     | 2.8781          | 9     |
| 3.0480     | 2.8647          | 10    |
| 3.0187     | 2.8465          | 11    |
| 2.9931     | 2.8347          | 12    |
| 2.9661     | 2.8247          | 13    |
| 2.9482     | 2.8123          | 14    |
| 2.9176     | 2.7992          | 15    |
| 2.9023     | 2.7922          | 16    |
| 2.8792     | 2.7826          | 17    |
| 2.8600     | 2.7731          | 18    |
| 2.8422     | 2.7683          | 19    |
| 2.8236     | 2.7567          | 20    |
| 2.7979     | 2.7493          | 21    |
| 2.7856     | 2.7438          | 22    |
| 2.7681     | 2.7346          | 23    |
| 2.7460     | 2.7296          | 24    |


### Framework versions

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