b45ee86b-010f-4375-bde1-8082d27d28f6

This model is a fine-tuned version of unsloth/llama-2-7b on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.8653

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: 0.000201
• 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	0.0017	1	1.5657
1.08	0.0875	50	1.0689
1.1161	0.1750	100	0.9942
0.965	0.2625	150	0.9685
0.9927	0.3500	200	0.9451
0.9914	0.4374	250	0.9238
0.909	0.5249	300	0.9020
0.8988	0.6124	350	0.8852
0.8767	0.6999	400	0.8729
0.9152	0.7874	450	0.8662
0.8756	0.8749	500	0.8653

Framework versions

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