SFT-Mistral-7B

This model is a fine-tuned version of mistralai/Mistral-7B-v0.3 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.5508

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: 5
• eval_batch_size: 5
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
0.6775	1.0	116	0.5821
0.5916	2.0	232	0.5567
0.5204	3.0	348	0.5508

Framework versions

• PEFT 0.12.0
• Transformers 4.44.0
• Pytorch 2.0.1
• Datasets 2.20.0
• Tokenizers 0.19.1