Mistral-Instruct-7B-v0.2-ChatAlpacaV2

This model is a fine-tuned version of unsloth/mistral-7b-instruct-v0.2-bnb-4bit on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.8439

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: 5e-05
• train_batch_size: 2
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 16
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.05
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
0.8801	0.2	120	0.8756
0.8498	0.39	240	0.8553
0.8515	0.59	360	0.8475
0.8313	0.78	480	0.8445
0.857	0.98	600	0.8439

Framework versions

• PEFT 0.8.2
• Transformers 4.37.1
• Pytorch 2.1.1+cu121
• Datasets 2.16.1
• Tokenizers 0.15.1