metadata
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: CamembertQA3
results: []
CamembertQA3
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: 1.3289
- Train End Logits Accuracy: 0.7077
- Train Start Logits Accuracy: 0.6139
- Validation Loss: 1.6439
- Validation End Logits Accuracy: 0.6508
- Validation Start Logits Accuracy: 0.5665
- Epoch: 1
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': 5e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
- training_precision: float32
Training results
| Train Loss | Train End Logits Accuracy | Train Start Logits Accuracy | Validation Loss | Validation End Logits Accuracy | Validation Start Logits Accuracy | Epoch |
|---|---|---|---|---|---|---|
| 1.8724 | 0.5931 | 0.5097 | 1.6982 | 0.6436 | 0.5656 | 0 |
| 1.3289 | 0.7077 | 0.6139 | 1.6439 | 0.6508 | 0.5665 | 1 |
Framework versions
- Transformers 4.30.2
- TensorFlow 2.12.0
- Datasets 2.13.1
- Tokenizers 0.13.3