shawgpt-ft

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:

• eval_loss: 1.1537
• eval_runtime: 31.9752
• eval_samples_per_second: 1.939
• eval_steps_per_second: 0.5
• epoch: 4.0
• step: 62

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: 10
• mixed_precision_training: Native AMP

Framework versions

• PEFT 0.10.0
• Transformers 4.39.3
• Pytorch 2.1.0+cu121
• Datasets 2.19.0
• Tokenizers 0.15.2