HachiML / Mists-7B-v01-simpleQA

huggingface.co
Total runs: 12
24-hour runs: 0
7-day runs: 0
30-day runs: 9
Model's Last Updated: July 07 2024
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Introduction of Mists-7B-v01-simpleQA

Model Details of Mists-7B-v01-simpleQA

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Mists-7B-v01-simpleQA

This model is a fine-tuned version of HachiML/Mists-7B-v01-simple-projector-trained on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0972
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: 2e-05
  • train_batch_size: 128
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.05
  • num_epochs: 1
Training results
Training Loss Epoch Step Validation Loss
0.1811 0.0888 50 5.1410
1.2662 0.1776 100 4.0209
0.5676 0.2664 150 3.6247
0.6122 0.3552 200 2.5723
0.3855 0.4440 250 1.8618
0.5471 0.5329 300 1.5969
0.5238 0.6217 350 0.9045
0.3799 0.7105 400 0.5475
0.2406 0.7993 450 0.1614
0.1381 0.8881 500 0.1055
0.0992 0.9769 550 0.0972
Framework versions
  • Transformers 4.42.3
  • Pytorch 2.0.1
  • Datasets 2.20.0
  • Tokenizers 0.19.1

Runs of HachiML Mists-7B-v01-simpleQA on huggingface.co

12
Total runs
0
24-hour runs
2
3-day runs
0
7-day runs
9
30-day runs

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Mists-7B-v01-simpleQA install

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