adiyghub/mistral_7b_openorca_small_qlora_finetuned

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results

This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on 800 examples from OpenOrca. It achieves the following results on the evaluation set:

• —Loss: 1.3820

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: 0.0001
• —trainbatchsize: 4
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 50
• —num_epochs: 3

Training results

Framework versions

• —PEFT 0.10.0
• —Transformers 4.39.2
• —Pytorch 2.2.1+cu121
• —Datasets 2.18.0
• —Tokenizers 0.15.2