Finetune-test2

This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.2-GPTQ on the None dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.8662
• eval_runtime: 15.7392
• eval_samples_per_second: 6.354
• eval_steps_per_second: 1.588
• epoch: 12.0
• step: 675

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: 20
• mixed_precision_training: Native AMP

Framework versions

• PEFT 0.10.0
• Transformers 4.40.1
• Pytorch 2.0.1+cu118
• Datasets 2.19.0
• Tokenizers 0.19.1