Weni/ZeroShot-3.3.11-Mistral-7b-Multilanguage-3.2.0

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ZeroShot-3.3.9-Mistral-7b-Multilanguage-3.2.0

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

• —Loss: 0.3844

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: 8
• —evalbatchsize: 2
• —seed: 42
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 16
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 1
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —PEFT 0.8.2
• —Transformers 4.38.1
• —Pytorch 2.1.0+cu121
• —Datasets 2.17.1
• —Tokenizers 0.15.2