python_code_from_algo

This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.1-GPTQ on the generator dataset. It achieves the following results on the evaluation set:

• Loss: 0.5718

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: 2e-05
• 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: constant
• lr_scheduler_warmup_ratio: 0.03
• training_steps: 250

Training results

Training Loss	Epoch	Step	Validation Loss
0.8344	0.09	50	0.7093
0.6462	0.18	100	0.6182
0.5822	0.27	150	0.5691
0.5625	0.36	200	0.5667
0.5498	0.44	250	0.5718

Framework versions

• PEFT 0.8.2
• Transformers 4.37.2
• Pytorch 2.2.0
• Datasets 2.16.1
• Tokenizers 0.15.1