quamer23/mistral-7b-instruct-v.02-NLDockerCommands

train_2024-03-13-19-46-19

This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the dockerNLCommands dataset. It achieves the following results on the evaluation set:

• Loss: 0.0162

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: 5e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• num_epochs: 10.0

Training results

Training Loss	Epoch	Step	Validation Loss
0.0372	2.78	100	0.0332
0.0125	5.56	200	0.0162
0.005	8.33	300	0.0203

Framework versions

• PEFT 0.9.0
• Transformers 4.38.2
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2