Kamyar-zeinalipour/mistral-sft-lora-ChemInfo

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mistral-sft-lora-ChemInfo

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

• —Loss: 0.4781

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: 16
• —evalbatchsize: 16
• —seed: 100
• —distributed_type: multi-GPU
• —num_devices: 2
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 128
• —totalevalbatch_size: 32
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: cosine
• —num_epochs: 3.0

Training results

Framework versions

• —PEFT 0.7.2.dev0
• —Transformers 4.37.0.dev0
• —Pytorch 2.1.2+cu121
• —Datasets 2.16.1
• —Tokenizers 0.15.0