sanchit-gandhi/distil-zephyr-1.5b-ssft-ultrachat

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sanchit-gandhi/Mistral-7B-v0.1-6-layer

This model is a fine-tuned version of sanchit-gandhi/Mistral-7B-v0.1-6-layer on the stingning/ultrachat dataset. It achieves the following results on the evaluation set:

• —Loss: 1.0042

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: 32
• —evalbatchsize: 32
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 8
• —totaltrainbatch_size: 256
• —totalevalbatch_size: 256
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 500
• —training_steps: 20000

Training results

Framework versions

• —Transformers 4.40.1
• —Pytorch 2.2.2+cu121
• —Datasets 2.19.0
• —Tokenizers 0.19.1