lewtun / roberta-large-finetuned-clinc-314

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Total runs: 12
24-hour runs: 0
7-day runs: -7
30-day runs: -5
Model's Last Updated: April 12 2022
text-classification

Introduction of roberta-large-finetuned-clinc-314

Model Details of roberta-large-finetuned-clinc-314

roberta-large-finetuned-clinc-314

This model is a fine-tuned version of roberta-large on the clinc_oos dataset. It achieves the following results on the evaluation set:

  • Loss: 0.7983
  • Accuracy: 0.9323
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
  • distributed_type: sagemaker_data_parallel
  • num_devices: 8
  • total_train_batch_size: 128
  • total_eval_batch_size: 128
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 3
  • mixed_precision_training: Native AMP
Training results
Training Loss Epoch Step Validation Loss Accuracy
5.0674 1.0 120 5.0406 0.0061
4.566 2.0 240 3.0712 0.7316
2.1553 3.0 360 0.7983 0.9323
Framework versions
  • Transformers 4.12.3
  • Pytorch 1.9.1
  • Datasets 1.15.1
  • Tokenizers 0.10.3

Runs of lewtun roberta-large-finetuned-clinc-314 on huggingface.co

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

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roberta-large-finetuned-clinc-314 is an open source model from GitHub that offers a free installation service, and any user can find roberta-large-finetuned-clinc-314 on GitHub to install. At the same time, huggingface.co provides the effect of roberta-large-finetuned-clinc-314 install, users can directly use roberta-large-finetuned-clinc-314 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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