---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_keras_callback
model-index:
- name: JuliusFx/dyu-fr-t5-small_v8
  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. -->

# JuliusFx/dyu-fr-t5-small_v8

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: 2.4243
- Validation Loss: 2.8930
- Epoch: 31

## 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 |
|:----------:|:---------------:|:-----:|
| 3.1481     | 3.2663          | 0     |
| 3.0205     | 3.2024          | 1     |
| 2.9712     | 3.1559          | 2     |
| 2.9209     | 3.1465          | 3     |
| 2.8848     | 3.1125          | 4     |
| 2.8512     | 3.1014          | 5     |
| 2.8239     | 3.0771          | 6     |
| 2.7965     | 3.0641          | 7     |
| 2.7743     | 3.0431          | 8     |
| 2.7505     | 3.0327          | 9     |
| 2.7325     | 3.0072          | 10    |
| 2.7153     | 3.0060          | 11    |
| 2.6904     | 2.9950          | 12    |
| 2.6750     | 2.9895          | 13    |
| 2.6554     | 2.9700          | 14    |
| 2.6400     | 2.9632          | 15    |
| 2.6220     | 2.9534          | 16    |
| 2.6059     | 2.9505          | 17    |
| 2.5913     | 2.9536          | 18    |
| 2.5779     | 2.9485          | 19    |
| 2.5624     | 2.9349          | 20    |
| 2.5469     | 2.9307          | 21    |
| 2.5341     | 2.9224          | 22    |
| 2.5223     | 2.9114          | 23    |
| 2.5093     | 2.8996          | 24    |
| 2.4995     | 2.9065          | 25    |
| 2.4855     | 2.8974          | 26    |
| 2.4706     | 2.8926          | 27    |
| 2.4589     | 2.9075          | 28    |
| 2.4521     | 2.8921          | 29    |
| 2.4380     | 2.9055          | 30    |
| 2.4243     | 2.8930          | 31    |


### Framework versions

- Transformers 4.38.2
- TensorFlow 2.15.0
- Datasets 2.18.0
- Tokenizers 0.15.2