f2e2e578-5e50-4597-a47c-7ab44f8eede2

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

• Loss: 0.8617

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: 0.000211
• train_batch_size: 4
• eval_batch_size: 4
• seed: 110
• gradient_accumulation_steps: 2
• total_train_batch_size: 8
• optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 50
• training_steps: 500

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.0003	1	1.4019
1.0828	0.0170	50	1.0451
1.0696	0.0341	100	1.0384
1.0188	0.0511	150	0.9800
1.0232	0.0681	200	0.9608
0.9879	0.0851	250	0.9279
0.8945	0.1022	300	0.9044
0.96	0.1192	350	0.8869
0.7641	0.1362	400	0.8699
0.9523	0.1532	450	0.8625
0.8951	0.1703	500	0.8617

Framework versions

• PEFT 0.13.2
• Transformers 4.46.0
• Pytorch 2.5.0+cu124
• Datasets 3.0.1
• Tokenizers 0.20.1