0e132d90-59bb-43dd-bd8b-2bb71cc1f8ea

This model is a fine-tuned version of unsloth/Llama-3.2-3B on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.3633

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: 0.000203
• train_batch_size: 4
• eval_batch_size: 4
• seed: 30
• 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	0.0001	1	4.2652
2.4698	0.0045	50	2.6849
2.4053	0.0090	100	2.5640
2.4189	0.0135	150	2.5427
2.2621	0.0180	200	2.5148
2.2572	0.0225	250	2.4687
2.3035	0.0270	300	2.4241
2.2882	0.0316	350	2.3822
2.1992	0.0361	400	2.3742
2.2524	0.0406	450	2.3680
2.1914	0.0451	500	2.3633

Framework versions

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