b8013054-c912-48d6-ae2e-8aafb01d2955

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: 1.2184

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: 0.000212
• train_batch_size: 4
• eval_batch_size: 4
• seed: 120
• 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	0.0005	1	2.5953
3.3231	0.0243	50	1.9761
3.0738	0.0486	100	1.8852
3.3689	0.0729	150	1.8401
3.0741	0.0972	200	1.8858
2.8161	0.1214	250	1.6659
2.9248	0.1457	300	1.4917
2.6754	0.1700	350	1.3495
2.4932	0.1943	400	1.2673
2.6524	0.2186	450	1.2248
2.7516	0.2429	500	1.2184

Framework versions

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