Malvegil/new_javascript_nlp_v1.0

This model is a fine-tuned version of malvegil/new_javascript_nlp_v1.0 on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 2.5882
• Validation Loss: 2.4981
• Epoch: 6

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
2.7755	2.5004	0
2.7372	2.5036	1
2.7011	2.5060	2
2.6707	2.5037	3
2.6429	2.5073	4
2.6144	2.4986	5
2.5882	2.4981	6

Framework versions

• Transformers 4.38.2
• TensorFlow 2.15.0
• Datasets 2.18.0
• Tokenizers 0.15.2