tsavage68/mpt_200_STEPS_1e5_SFT_SFT

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mpt200STEPS1e5SFT_SFT

This model is a fine-tuned version of mosaicml/mpt-7b-instruct on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 0.4234

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: 1e-05
• —trainbatchsize: 2
• —evalbatchsize: 1
• —seed: 42
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 4
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: cosine
• —lrschedulerwarmup_steps: 100
• —training_steps: 200

Training results

Framework versions

• —Transformers 4.39.3
• —Pytorch 2.0.0+cu117
• —Datasets 2.18.0
• —Tokenizers 0.15.2