Dinithi / AgitationTextV1

huggingface.co
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30-day runs: -15
Model's Last Updated: September 04 2022
text-classification

Introduction of AgitationTextV1

Model Details of AgitationTextV1

AgitationTextV1

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

  • Loss: 0.5634
  • Accuracy: 0.84
  • Precision: 0.9054
  • Recall: 0.8816
  • F1: 0.8933
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: 1e-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
  • mixed_precision_training: Native AMP
Training results
Training Loss Epoch Step Validation Loss Accuracy Precision Recall F1
0.558 1.0 50 0.5387 0.75 0.9048 0.75 0.8201
0.4431 2.0 100 0.4989 0.75 0.9474 0.7105 0.8120
0.3334 3.0 150 0.4703 0.79 0.9661 0.75 0.8444
0.2601 4.0 200 0.4391 0.85 0.9420 0.8553 0.8966
0.2081 5.0 250 0.4560 0.84 0.9167 0.8684 0.8919
0.1655 6.0 300 0.5424 0.84 0.8947 0.8947 0.8947
0.1427 7.0 350 0.4977 0.84 0.9286 0.8553 0.8904
0.1237 8.0 400 0.5642 0.85 0.9067 0.8947 0.9007
0.1122 9.0 450 0.6052 0.85 0.9067 0.8947 0.9007
0.0962 10.0 500 0.5634 0.84 0.9054 0.8816 0.8933
Framework versions
  • Transformers 4.21.2
  • Pytorch 1.12.1+cu113
  • Datasets 2.4.0
  • Tokenizers 0.12.1

Runs of Dinithi AgitationTextV1 on huggingface.co

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More Information About AgitationTextV1 huggingface.co Model

More AgitationTextV1 license Visit here:

https://choosealicense.com/licenses/apache-2.0

AgitationTextV1 huggingface.co

AgitationTextV1 huggingface.co is an AI model on huggingface.co that provides AgitationTextV1's model effect (), which can be used instantly with this Dinithi AgitationTextV1 model. huggingface.co supports a free trial of the AgitationTextV1 model, and also provides paid use of the AgitationTextV1. Support call AgitationTextV1 model through api, including Node.js, Python, http.

AgitationTextV1 huggingface.co Url

https://huggingface.co/Dinithi/AgitationTextV1

Dinithi AgitationTextV1 online free

AgitationTextV1 huggingface.co is an online trial and call api platform, which integrates AgitationTextV1's modeling effects, including api services, and provides a free online trial of AgitationTextV1, you can try AgitationTextV1 online for free by clicking the link below.

Dinithi AgitationTextV1 online free url in huggingface.co:

https://huggingface.co/Dinithi/AgitationTextV1

AgitationTextV1 install

AgitationTextV1 is an open source model from GitHub that offers a free installation service, and any user can find AgitationTextV1 on GitHub to install. At the same time, huggingface.co provides the effect of AgitationTextV1 install, users can directly use AgitationTextV1 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

AgitationTextV1 install url in huggingface.co:

https://huggingface.co/Dinithi/AgitationTextV1

Url of AgitationTextV1

AgitationTextV1 huggingface.co Url

Provider of AgitationTextV1 huggingface.co

Dinithi
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