98a3cedc-4885-4c29-bced-039d76aefa47

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: 1.6465

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: 0.000213
• 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	0.0001	1	1.8829
1.6889	0.0067	50	1.9161
1.6208	0.0134	100	1.8435
1.6769	0.0201	150	1.8120
1.7507	0.0268	200	1.7817
1.7482	0.0335	250	1.7193
1.4411	0.0402	300	1.6968
1.6641	0.0470	350	1.6692
1.5585	0.0537	400	1.6508
1.5365	0.0604	450	1.6450
1.6378	0.0671	500	1.6465

Framework versions

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