69bd5f8e-9861-4059-b1f1-3c0d006f5ebf

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: 0.4078

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: 0.000205
• train_batch_size: 4
• eval_batch_size: 4
• seed: 50
• 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	0.0002	1	0.7202
1.757	0.0101	50	0.4949
1.6165	0.0202	100	0.5164
1.4663	0.0303	150	0.4838
1.2624	0.0404	200	0.4716
1.4638	0.0504	250	0.4680
1.5879	0.0605	300	0.4408
1.4359	0.0706	350	0.4254
1.6106	0.0807	400	0.4130
1.536	0.0908	450	0.4088
1.2788	0.1009	500	0.4078

Framework versions

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