bert-fine-tuned-rajat

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

• Train Loss: 0.1791
• Validation Loss: 0.4963
• 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': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
• training_precision: float32

Training results

Train Loss	Validation Loss	Epoch
0.5119	0.4245	0
0.3015	0.4296	1
0.1791	0.4963	2

Framework versions

• Transformers 4.19.2
• TensorFlow 2.8.2
• Datasets 2.2.2
• Tokenizers 0.12.1