42f872b2-e573-4f5c-a5b0-802cca3e5161

This model is a fine-tuned version of unsloth/mistral-7b-instruct-v0.2 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.9106

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: 0.000206
• train_batch_size: 4
• eval_batch_size: 4
• seed: 60
• 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	2.3269
4.1794	0.0030	50	2.1067
4.1059	0.0060	100	2.1034
4.1909	0.0090	150	2.1209
4.06	0.0120	200	2.0651
3.8781	0.0149	250	2.0182
3.8719	0.0179	300	1.9850
3.9346	0.0209	350	1.9505
3.8107	0.0239	400	1.9281
3.8533	0.0269	450	1.9130
3.8271	0.0299	500	1.9106

Framework versions

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