metadata

library_name: transformers
license: mit
base_model: camembert-base
tags:
  - generated_from_keras_callback
model-index:
  - name: camembert-sentiment-allocine
    results: []

camembert-sentiment-allocine

This model is a fine-tuned version of camembert-base on an unknown dataset. It achieves the following results on the evaluation set:

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': np.float32(0.001), 'decay': 0.0, 'beta_1': np.float32(0.9), 'beta_2': np.float32(0.999), 'epsilon': 1e-07, 'amsgrad': False}
training_precision: float32

Training results

Framework versions

Transformers 4.47.0
TensorFlow 2.18.0
Datasets 3.1.0
Tokenizers 0.21.0