nlp-prachathai67k-text-classification

This model is a fine-tuned version of meta-llama/Llama-3.2-1B on the prachathai67k dataset. It achieves the following results on the evaluation set:

• Loss: 0.1609
• Accuracy: 0.9349
• F1: 0.7418
• Precision: 0.8033
• Recall: 0.6890

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: 3
• eval_batch_size: 3
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 12
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.1687	0.9998	4531	0.1698	0.9302	0.7251	0.7787	0.6784
0.1513	1.9997	9062	0.1609	0.9349	0.7418	0.8033	0.6890

Framework versions

• PEFT 0.13.0
• Transformers 4.44.2
• Pytorch 2.4.0
• Datasets 3.0.0
• Tokenizers 0.19.1