fine-tuned-roberta_b_full

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

• Train Loss: 0.1815
• Train Accuracy: 0.9262
• Validation Loss: 0.2244
• Validation Accuracy: 0.9266
• Epoch: 2

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': 2e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
• training_precision: float32

Training results

Train Loss	Train Accuracy	Validation Loss	Validation Accuracy	Epoch
0.3324	0.8411	0.2272	0.9182	0
0.2072	0.9134	0.2073	0.9154	1
0.1815	0.9262	0.2244	0.9266	2

Framework versions

• Transformers 4.48.2
• TensorFlow 2.18.0
• Tokenizers 0.21.0