test-ner

This model is a fine-tuned version of Geotrend/bert-base-th-cased on the lst20 dataset. It achieves the following results on the evaluation set:

• Loss: 0.1910
• Precision: 0.8147
• Recall: 0.8409
• F1: 0.8276
• Accuracy: 0.9379

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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.1623	1.0	3957	0.1910	0.8147	0.8409	0.8276	0.9379

Framework versions

• Transformers 4.44.2
• Pytorch 2.4.1+cu121
• Datasets 3.0.1
• Tokenizers 0.19.1