---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: Flaubert_1619
  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. -->

# Flaubert_1619

This model is a fine-tuned version of [flaubert/flaubert_base_cased](https://huggingface.co/flaubert/flaubert_base_cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.2458
- Validation Loss: 0.5339
- Train Accuracy: 0.8170
- Epoch: 19

## 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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 1432, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Train Accuracy | Epoch |
|:----------:|:---------------:|:--------------:|:-----:|
| 1.0000     | 0.5841          | 0.7769         | 0     |
| 0.5526     | 0.5284          | 0.7845         | 1     |
| 0.3909     | 0.4806          | 0.8221         | 2     |
| 0.2798     | 0.5339          | 0.8170         | 3     |
| 0.2378     | 0.5339          | 0.8170         | 4     |
| 0.2514     | 0.5339          | 0.8170         | 5     |
| 0.2403     | 0.5339          | 0.8170         | 6     |
| 0.2373     | 0.5339          | 0.8170         | 7     |
| 0.2441     | 0.5339          | 0.8170         | 8     |
| 0.2529     | 0.5339          | 0.8170         | 9     |
| 0.2400     | 0.5339          | 0.8170         | 10    |
| 0.2337     | 0.5339          | 0.8170         | 11    |
| 0.2394     | 0.5339          | 0.8170         | 12    |
| 0.2383     | 0.5339          | 0.8170         | 13    |
| 0.2464     | 0.5339          | 0.8170         | 14    |
| 0.2464     | 0.5339          | 0.8170         | 15    |
| 0.2468     | 0.5339          | 0.8170         | 16    |
| 0.2427     | 0.5339          | 0.8170         | 17    |
| 0.2546     | 0.5339          | 0.8170         | 18    |
| 0.2458     | 0.5339          | 0.8170         | 19    |


### Framework versions

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