mlm_soft_finetune_bert

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

• Train Loss: 0.0020
• Epoch: 9

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': 1e-04, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
• training_precision: float32

Training results

Train Loss	Epoch
0.0058	0
0.0032	1
0.0029	2
0.0025	3
0.0024	4
0.0023	5
0.0022	6
0.0021	7
0.0021	8
0.0020	9

Framework versions

• Transformers 4.37.2
• TensorFlow 2.15.0
• Tokenizers 0.15.1