krm/my_exercice_mrpc

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

• Train Loss: 0.6942
• Train Accuracy: 0.6200
• Validation Loss: 0.6486
• Validation Accuracy: 0.6838
• Epoch: 2

Model description

Ce modèle n'est pas à utiliser. Il s'agit d'un petit essai.

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': 0.001, '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
0.6860	0.6314	0.7727	0.6838	0
0.6862	0.6347	0.6326	0.6838	1
0.6942	0.6200	0.6486	0.6838	2

Framework versions

• Transformers 4.22.2
• TensorFlow 2.8.2
• Datasets 2.5.1
• Tokenizers 0.12.1