---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: Aliissa99/test2
  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. -->

# Aliissa99/test2

This model is a fine-tuned version of [almanach/camembert-bio-base](https://huggingface.co/almanach/camembert-bio-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 1.5692
- Validation Loss: 1.3863
- Train Accuracy: 0.2683
- Epoch: 10

## 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': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 0.01, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Train Accuracy | Epoch |
|:----------:|:---------------:|:--------------:|:-----:|
| 1.5039     | 1.3863          | 0.2195         | 0     |
| 1.5840     | 1.3863          | 0.2622         | 1     |
| 1.6272     | 1.3863          | 0.2195         | 2     |
| 1.6190     | 1.3863          | 0.2073         | 3     |
| 1.5786     | 1.3863          | 0.2439         | 4     |
| 1.6480     | 1.3863          | 0.2561         | 5     |
| 1.5920     | 1.3863          | 0.2012         | 6     |
| 1.6015     | 1.3863          | 0.2073         | 7     |
| 1.6395     | 1.3863          | 0.2317         | 8     |
| 1.6264     | 1.3863          | 0.2317         | 9     |
| 1.5692     | 1.3863          | 0.2683         | 10    |


### Framework versions

- Transformers 4.30.2
- TensorFlow 2.12.0
- Datasets 2.13.1
- Tokenizers 0.13.3