7ea5fc21-9ff5-4b19-aac5-c63b4b36eb76

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: 1.5713

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: 0.000208
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• 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	0.0004	1	2.8711
2.0458	0.0214	50	2.0227
2.029	0.0428	100	1.9384
1.7794	0.0641	150	1.8386
1.8716	0.0855	200	1.7716
1.7908	0.1069	250	1.7233
1.772	0.1283	300	1.6742
1.7696	0.1497	350	1.6257
1.7012	0.1710	400	1.5866
1.7236	0.1924	450	1.5725
1.7165	0.2138	500	1.5713

Framework versions

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