metadata

license: mit
tags:
  - generated_from_keras_callback
model-index:
  - name: huynhdoo/distilcamembert-base-finetuned-jva-missions-report
    results: []

huynhdoo/distilcamembert-base-finetuned-jva-missions-report

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

Train Loss: 0.2765
Validation Loss: 0.5106
Train F1: 0.2346
Epoch: 3

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': 2e-05, 'decay_steps': 3000, '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-08, 'amsgrad': False}
training_precision: float32

Training results

Train Loss	Validation Loss	Train F1	Epoch
0.5225	0.4756	0.3575	0
0.4079	0.4294	0.2961	1
0.3439	0.5053	0.2961	2
0.2765	0.5106	0.2346	3

Framework versions

Transformers 4.26.0
TensorFlow 2.9.2
Datasets 2.9.0
Tokenizers 0.13.2