metadata
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: huynhdoo/camembert-base-finetuned-jva-missions-report
results: []
huynhdoo/camembert-base-finetuned-jva-missions-report
This model is a fine-tuned version of camembert-base on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.1724
- Train Accuracy: 0.9446
- Validation Loss: 0.4132
- Validation Accuracy: 0.8436
- Epoch: 2
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', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 603, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32
Training results
| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
|---|---|---|---|---|
| 0.4575 | 0.7934 | 0.4093 | 0.8492 | 0 |
| 0.2709 | 0.9073 | 0.4132 | 0.8603 | 1 |
| 0.1724 | 0.9446 | 0.4132 | 0.8436 | 2 |
Framework versions
- Transformers 4.26.1
- TensorFlow 2.9.2
- Datasets 2.9.0
- Tokenizers 0.13.2