intanm / fewshot-qa-002-20230613

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Total runs: 7
24-hour runs: 0
7-day runs: -2
30-day runs: -3
Model's Last Updated: June 13 2023
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Introduction of fewshot-qa-002-20230613

Model Details of fewshot-qa-002-20230613

fewshot-qa-002-20230613

This model is a fine-tuned version of intanm/20230429-001-baseline-xlmr-qa-ft-clickbait-spoiling on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0795
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: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 10
Training results
Training Loss Epoch Step Validation Loss
No log 1.0 8 1.7534
No log 2.0 16 1.0488
No log 3.0 24 0.6455
No log 4.0 32 0.3724
No log 5.0 40 0.2555
No log 6.0 48 0.1813
No log 7.0 56 0.1244
No log 8.0 64 0.1023
No log 9.0 72 0.0873
No log 10.0 80 0.0795
Framework versions
  • Transformers 4.30.1
  • Pytorch 2.0.1+cu118
  • Datasets 2.12.0
  • Tokenizers 0.13.3

Runs of intanm fewshot-qa-002-20230613 on huggingface.co

7
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0
24-hour runs
-2
3-day runs
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7-day runs
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30-day runs

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