PhobertLexicalMeta

This model is a fine-tuned version of gechim/metadata-cls-no-gov-8k-v3 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0927
• Accuracy: 0.9792
• F1: 0.9664

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:

• learning_rate: 2e-05
• train_batch_size: 64
• eval_batch_size: 64
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.1701	1.9608	200	0.0936	0.9741	0.9575
0.0537	3.9216	400	0.0780	0.9780	0.9647
0.0252	5.8824	600	0.0762	0.9805	0.9687
0.016	7.8431	800	0.0996	0.9780	0.9640
0.0098	9.8039	1000	0.0927	0.9792	0.9664

Framework versions

• Transformers 4.43.1
• Pytorch 2.1.2
• Datasets 2.20.0
• Tokenizers 0.19.1