fine-tuned-roberta_multi_updated

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: 0.5342
• Train Accuracy: 0.7961
• Validation Loss: 0.8273
• Validation Accuracy: 0.7143
• 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
0.8871	0.5847	0.7571	0.6832	0
0.6343	0.7547	0.7275	0.7143	1
0.5342	0.7961	0.8273	0.7143	2

Framework versions

• Transformers 4.48.2
• TensorFlow 2.18.0
• Tokenizers 0.21.0