Aliissa99/test2

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

• Train Loss: 1.6030
• Validation Loss: 1.3863
• Train Accuracy: 0.1707
• Epoch: 11

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': 0.01, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
• training_precision: float32

Training results

Train Loss	Validation Loss	Train Accuracy	Epoch
1.5039	1.3863	0.2195	0
1.5840	1.3863	0.2622	1
1.6272	1.3863	0.2195	2
1.6190	1.3863	0.2073	3
1.5786	1.3863	0.2439	4
1.6480	1.3863	0.2561	5
1.5920	1.3863	0.2012	6
1.6015	1.3863	0.2073	7
1.6395	1.3863	0.2317	8
1.6264	1.3863	0.2317	9
1.5692	1.3863	0.2683	10
1.6030	1.3863	0.1707	11

Framework versions

• Transformers 4.30.2
• TensorFlow 2.12.0
• Datasets 2.13.1
• Tokenizers 0.13.3