amdevraj/mistral-7b-ift

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mistral-7b-ift

This model is a fine-tuned version of mistralai/Mistral-7B-v0.3 on the data/ift dataset. It achieves the following results on the evaluation set:

• —Loss: 0.9529

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: 5e-07
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 8
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 256
• —totalevalbatch_size: 64
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 3

Training results

Framework versions

• —Transformers 4.45.2
• —Pytorch 2.5.0+cu121
• —Datasets 3.0.1
• —Tokenizers 0.20.1