metadata-cls-no-gov-8k-vnnic

This model is a fine-tuned version of vinai/phobert-base-v2 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.2819
• Accuracy: 0.9319
• F1: 0.7796

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
0.5853	1.1364	150	0.2434	0.9311	0.7583
0.2425	2.2727	300	0.2510	0.9251	0.7630
0.1714	3.4091	450	0.2222	0.9345	0.7682
0.1274	4.5455	600	0.2391	0.9328	0.7862
0.1075	5.6818	750	0.2507	0.9319	0.7732
0.0867	6.8182	900	0.2808	0.9277	0.7711
0.0625	7.9545	1050	0.2965	0.9243	0.7674
0.0539	9.0909	1200	0.2819	0.9319	0.7796

Framework versions

• Transformers 4.44.0
• Pytorch 2.1.2
• Datasets 2.20.0
• Tokenizers 0.19.1