valurank / distilroberta-patch-news-classification

huggingface.co
Total runs: 1
24-hour runs: 0
7-day runs: 0
30-day runs: -3
Model's Last Updated: December 24 2024
text-classification

Introduction of distilroberta-patch-news-classification

Model Details of distilroberta-patch-news-classification

distilroberta-patch-news-classification

This model is a fine-tuned version of distilroberta-base on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5683
  • F1: 0.9883
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-05
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 12345
  • optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 16
  • num_epochs: 3
  • mixed_precision_training: Native AMP
  • label_smoothing_factor: 0.5
Training results
Training Loss Epoch Step Validation Loss F1
0.577 1.0 118 0.5716 0.9776
0.5664 2.0 236 0.5684 0.9872
0.5697 3.0 354 0.5683 0.9883
Framework versions
  • Transformers 4.47.1
  • Pytorch 2.5.1+cu121
  • Datasets 3.2.0
  • Tokenizers 0.21.0

Runs of valurank distilroberta-patch-news-classification on huggingface.co

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

More Information About distilroberta-patch-news-classification huggingface.co Model

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distilroberta-patch-news-classification huggingface.co

distilroberta-patch-news-classification huggingface.co is an AI model on huggingface.co that provides distilroberta-patch-news-classification's model effect (), which can be used instantly with this valurank distilroberta-patch-news-classification model. huggingface.co supports a free trial of the distilroberta-patch-news-classification model, and also provides paid use of the distilroberta-patch-news-classification. Support call distilroberta-patch-news-classification model through api, including Node.js, Python, http.

distilroberta-patch-news-classification huggingface.co Url

https://huggingface.co/valurank/distilroberta-patch-news-classification

valurank distilroberta-patch-news-classification online free

distilroberta-patch-news-classification huggingface.co is an online trial and call api platform, which integrates distilroberta-patch-news-classification's modeling effects, including api services, and provides a free online trial of distilroberta-patch-news-classification, you can try distilroberta-patch-news-classification online for free by clicking the link below.

valurank distilroberta-patch-news-classification online free url in huggingface.co:

https://huggingface.co/valurank/distilroberta-patch-news-classification

distilroberta-patch-news-classification install

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

distilroberta-patch-news-classification install url in huggingface.co:

https://huggingface.co/valurank/distilroberta-patch-news-classification

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