Project5_V3_Mistral7b_V2

This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the generator dataset.

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: 2
• eval_batch_size: 2
• seed: 42
• gradient_accumulation_steps: 128
• total_train_batch_size: 256
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.8	1	2.3482

Framework versions

• PEFT 0.7.1
• Transformers 4.37.0
• Pytorch 2.1.1+cu121
• Datasets 2.16.1
• Tokenizers 0.15.1