basic_text_classification

This model is a fine-tuned version of meta-llama/Llama-3.2-1B on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0742
• Accuracy: 0.9738

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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	223	0.1102	0.9570
No log	2.0	446	0.0742	0.9738

Framework versions

• PEFT 0.10.0
• Transformers 4.45.2
• Pytorch 2.4.1+cu121
• Datasets 2.18.0
• Tokenizers 0.20.1