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

This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.2-GPTQ on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.2117

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: 0.0002
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 2
• num_epochs: 5
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.9088	1.0	1	1.3562
0.9303	2.0	2	1.3320
0.9044	3.0	3	1.2748
0.8551	4.0	4	1.2338
0.821	5.0	5	1.2117

Framework versions

• PEFT 0.10.0
• Transformers 4.40.1
• Pytorch 2.1.0+cu121
• Datasets 2.19.0
• Tokenizers 0.19.1