ghimiresunil/mistral-7b-bfloat16-trainer-full

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mistral-7b-bfloat16-sft-full

This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 1.6020

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: 4
• —evalbatchsize: 4
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 7
• —totaltrainbatch_size: 28
• —totalevalbatch_size: 28
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 1

Training results

Framework versions

• —Transformers 4.35.0
• —Pytorch 2.1.1+cu121
• —Datasets 2.14.6
• —Tokenizers 0.14.1