385bb9f5-4ca9-4456-98df-85adfc575f4a

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: 1.3283

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: 0.000211
• 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: 297

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.0034	1	2.6238
3.0164	0.1686	50	1.5914
3.0281	0.3373	100	1.7482
3.0781	0.5059	150	1.5749
2.8341	0.6745	200	1.4159
2.7965	0.8432	250	1.3283

Framework versions

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