Howard881010/epidemiology_sft_5000_mcq_1epoch

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epidemiologysft5000mcq1epoch

This model is a fine-tuned version of mistralai/Mistral-Nemo-Instruct-2407 on the epidemiology5000mcq dataset. It achieves the following results on the evaluation set:

• —Loss: 0.0039

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: 10
• —evalbatchsize: 10
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 2
• —totaltrainbatch_size: 20
• —totalevalbatch_size: 20
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: cosine
• —num_epochs: 1

Training results

Framework versions

• —PEFT 0.12.0
• —Transformers 4.46.0
• —Pytorch 2.4.0+cu121
• —Datasets 2.21.0
• —Tokenizers 0.20.1