---
license: apache-2.0
base_model: t5-base
tags:
- generated_from_keras_callback
model-index:
- name: JuliusFx/dyu-fr-t5-base_v1
  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-base_v1

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: 1.3233
- Validation Loss: 3.0376
- Epoch: 46

## 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 |
|:----------:|:---------------:|:-----:|
| 3.2963     | 3.1402          | 0     |
| 3.0454     | 3.0436          | 1     |
| 2.9282     | 3.0219          | 2     |
| 2.8338     | 2.9804          | 3     |
| 2.7463     | 2.9778          | 4     |
| 2.6807     | 2.9307          | 5     |
| 2.6156     | 2.9288          | 6     |
| 2.5501     | 2.9221          | 7     |
| 2.4933     | 2.9245          | 8     |
| 2.4400     | 2.9083          | 9     |
| 2.3910     | 2.9285          | 10    |
| 2.3451     | 2.9178          | 11    |
| 2.2967     | 2.9217          | 12    |
| 2.2496     | 2.9160          | 13    |
| 2.2099     | 2.9176          | 14    |
| 2.1726     | 2.8832          | 15    |
| 2.1317     | 2.9009          | 16    |
| 2.0931     | 2.8764          | 17    |
| 2.0541     | 2.8484          | 18    |
| 2.0237     | 2.8875          | 19    |
| 1.9935     | 2.8943          | 20    |
| 1.9538     | 2.8810          | 21    |
| 1.9218     | 2.8885          | 22    |
| 1.8905     | 2.8650          | 23    |
| 1.8631     | 2.8671          | 24    |
| 1.8290     | 2.8832          | 25    |
| 1.8046     | 2.8879          | 26    |
| 1.7761     | 2.9429          | 27    |
| 1.7414     | 2.9406          | 28    |
| 1.7167     | 2.9296          | 29    |
| 1.6926     | 2.9174          | 30    |
| 1.6639     | 2.9762          | 31    |
| 1.6421     | 2.9700          | 32    |
| 1.6102     | 2.9565          | 33    |
| 1.5877     | 2.9810          | 34    |
| 1.5658     | 2.9643          | 35    |
| 1.5390     | 3.0225          | 36    |
| 1.5152     | 3.0029          | 37    |
| 1.4990     | 2.9756          | 38    |
| 1.4748     | 3.0228          | 39    |
| 1.4483     | 3.0092          | 40    |
| 1.4286     | 3.0356          | 41    |
| 1.4051     | 3.0226          | 42    |
| 1.3841     | 3.0442          | 43    |
| 1.3577     | 3.0595          | 44    |
| 1.3433     | 3.0547          | 45    |
| 1.3233     | 3.0376          | 46    |


### Framework versions

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