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
- Downloads last month
- 3
Model tree for tonkaew131/nlp-prachathai67k-text-classification
Base model
meta-llama/Llama-3.2-1B