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
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