ft-mistral-7b-v01

This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the OpenAssistant/oasst_top1_2023-08-25 dataset. It achieves the following results on the evaluation set:

• Loss: 2.1947

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: 0.0002
• train_batch_size: 2
• eval_batch_size: 2
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 8
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: constant
• num_epochs: 3
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
2.1567	1.0	56	1.7930
0.8783	1.99	112	2.0771
0.4812	2.99	168	2.1947

Framework versions

• PEFT 0.7.1
• Transformers 4.36.2
• Pytorch 2.1.2
• Datasets 2.15.0
• Tokenizers 0.15.2