---
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: 0.7905
- Validation Loss: 2.9103
- Epoch: 78

## 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    |
| 2.3096     | 2.4504          | 12    |
| 2.2604     | 2.4454          | 13    |
| 2.2212     | 2.4427          | 14    |
| 2.1817     | 2.4356          | 15    |
| 2.1437     | 2.4339          | 16    |
| 2.1022     | 2.4223          | 17    |
| 2.0667     | 2.4204          | 18    |
| 2.0382     | 2.4182          | 19    |
| 1.9938     | 2.4242          | 20    |
| 1.9631     | 2.4265          | 21    |
| 1.9289     | 2.4125          | 22    |
| 1.8995     | 2.4177          | 23    |
| 1.8716     | 2.4195          | 24    |
| 1.8402     | 2.4214          | 25    |
| 1.8068     | 2.4280          | 26    |
| 1.7809     | 2.4226          | 27    |
| 1.7446     | 2.4455          | 28    |
| 1.7253     | 2.4453          | 29    |
| 1.6978     | 2.4497          | 30    |
| 1.6735     | 2.4501          | 31    |
| 1.6427     | 2.4633          | 32    |
| 1.6168     | 2.4633          | 33    |
| 1.5921     | 2.4670          | 34    |
| 1.5688     | 2.4659          | 35    |
| 1.5417     | 2.4874          | 36    |
| 1.5189     | 2.4790          | 37    |
| 1.4963     | 2.4961          | 38    |
| 1.4715     | 2.4951          | 39    |
| 1.4486     | 2.5063          | 40    |
| 1.4263     | 2.5078          | 41    |
| 1.4068     | 2.5306          | 42    |
| 1.3814     | 2.5477          | 43    |
| 1.3645     | 2.5501          | 44    |
| 1.3394     | 2.5548          | 45    |
| 1.3223     | 2.5493          | 46    |
| 1.3060     | 2.5572          | 47    |
| 1.2850     | 2.6033          | 48    |
| 1.2566     | 2.5900          | 49    |
| 1.2426     | 2.6090          | 50    |
| 1.2266     | 2.6152          | 51    |
| 1.2067     | 2.6252          | 52    |
| 1.1842     | 2.6435          | 53    |
| 1.1680     | 2.6481          | 54    |
| 1.1476     | 2.6438          | 55    |
| 1.1295     | 2.6559          | 56    |
| 1.1128     | 2.6910          | 57    |
| 1.1000     | 2.6722          | 58    |
| 1.0787     | 2.6840          | 59    |
| 1.0636     | 2.7139          | 60    |
| 1.0425     | 2.7218          | 61    |
| 1.0298     | 2.7196          | 62    |
| 1.0150     | 2.7374          | 63    |
| 0.9989     | 2.7367          | 64    |
| 0.9811     | 2.7660          | 65    |
| 0.9674     | 2.7741          | 66    |
| 0.9490     | 2.7701          | 67    |
| 0.9322     | 2.7856          | 68    |
| 0.9197     | 2.7829          | 69    |
| 0.9010     | 2.8053          | 70    |
| 0.8894     | 2.8119          | 71    |
| 0.8732     | 2.8408          | 72    |
| 0.8597     | 2.8401          | 73    |
| 0.8404     | 2.8706          | 74    |
| 0.8317     | 2.8872          | 75    |
| 0.8204     | 2.8772          | 76    |
| 0.8083     | 2.8962          | 77    |
| 0.7905     | 2.9103          | 78    |


### Framework versions

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