lewtun / roberta-large-finetuned-clinc

huggingface.co
Total runs: 24
24-hour runs: 1
7-day runs: 3
30-day runs: 15
Model's Last Updated: April 13 2022
text-classification

Introduction of roberta-large-finetuned-clinc

Model Details of roberta-large-finetuned-clinc

roberta-large-finetuned-clinc

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: 0.1545
  • Accuracy: 0.9768
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: 5
  • mixed_precision_training: Native AMP
Training results
Training Loss Epoch Step Validation Loss Accuracy
5.0548 1.0 120 5.0359 0.0071
4.4725 2.0 240 2.9385 0.7558
1.8924 3.0 360 0.6456 0.9374
0.4552 4.0 480 0.2297 0.9626
0.1589 5.0 600 0.1545 0.9768
Framework versions
  • Transformers 4.17.0
  • Pytorch 1.10.2+cu113
  • Datasets 1.18.4
  • Tokenizers 0.11.6

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

24
Total runs
1
24-hour runs
1
3-day runs
3
7-day runs
15
30-day runs

More Information About roberta-large-finetuned-clinc huggingface.co Model

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roberta-large-finetuned-clinc install

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

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