models

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

• Loss: 0.4428

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: 2.5e-05
• train_batch_size: 2
• eval_batch_size: 2
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 0.03
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
0.7386	0.21	20	0.6957
0.6098	0.42	40	0.5837
0.4906	0.63	60	0.4980
0.4866	0.84	80	0.4428

Framework versions

• PEFT 0.9.0
• Transformers 4.38.2
• Pytorch 2.2.0
• Datasets 2.18.0
• Tokenizers 0.15.2