corbt/example-mistral-lora

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models/loras2/7bdb17d0-3f6b-4921-93db-0f46c4d9d81b

This model is a fine-tuned version of OpenPipe/mistral-ft-optimized-1227 on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 0.0179

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
• —trainbatchsize: 2
• —evalbatchsize: 2
• —seed: 42
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 8
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: cosine
• —lrschedulerwarmup_steps: 10
• —num_epochs: 2

Training results

Framework versions

• —Transformers 4.34.1
• —Pytorch 2.0.1+cu117
• —Datasets 2.14.6
• —Tokenizers 0.14.1