results

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: nan

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: 5e-05
• train_batch_size: 16
• eval_batch_size: 8
• seed: 42
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
0.6747	0.1593	500	nan
0.0	0.3187	1000	nan
0.0	0.4780	1500	nan
0.0	0.6373	2000	nan
0.0	0.7967	2500	nan
0.0	0.9560	3000	nan

Framework versions

• PEFT 0.13.3.dev0
• Transformers 4.48.0.dev0
• Pytorch 2.3.1.post100
• Datasets 3.1.0
• Tokenizers 0.21.0