chchen / Mistral-Nemo-12B-Instruct-SFT-Half

huggingface.co
Total runs: 5
24-hour runs: 0
7-day runs: 2
30-day runs: -1
Model's Last Updated: October 14 2024

Introduction of Mistral-Nemo-12B-Instruct-SFT-Half

Model Details of Mistral-Nemo-12B-Instruct-SFT-Half

Mistral-Nemo-12B-Instruct-SFT-Half

This model is a fine-tuned version of mistralai/Mistral-Nemo-Instruct-2407 on the bct_non_cot_sft_500 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4380
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-06
  • train_batch_size: 2
  • eval_batch_size: 2
  • seed: 42
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 3.0
  • mixed_precision_training: Native AMP
Training results
Framework versions
  • PEFT 0.12.0
  • Transformers 4.45.2
  • Pytorch 2.3.0
  • Datasets 2.19.0
  • Tokenizers 0.20.0

Runs of chchen Mistral-Nemo-12B-Instruct-SFT-Half on huggingface.co

5
Total runs
0
24-hour runs
0
3-day runs
2
7-day runs
-1
30-day runs

More Information About Mistral-Nemo-12B-Instruct-SFT-Half huggingface.co Model

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Mistral-Nemo-12B-Instruct-SFT-Half install

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