dot-ammar/dotlessv_maskV2_model-base

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

• Train Loss: 5.0516
• Validation Loss: 4.7834
• 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
6.4785	5.7280	0
5.5066	5.1215	1
5.0516	4.7834	2

Framework versions

• Transformers 4.33.0
• TensorFlow 2.12.0
• Datasets 2.1.0
• Tokenizers 0.13.3