pre_train_bert_atis

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

• Train Loss: 5.3421
• Validation Loss: 5.2885
• Epoch: 1

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': 'RMSprop', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': 100, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 0.001, 'rho': 0.9, 'momentum': 0.0, 'epsilon': 1e-07, 'centered': False}
• training_precision: float32

Training results

Train Loss	Validation Loss	Epoch
5.3454	5.3429	0
5.3421	5.2885	1

Framework versions

• Transformers 4.42.0.dev0
• TensorFlow 2.15.0
• Datasets 2.19.1
• Tokenizers 0.19.1