Dinithi / CancerTextV1

huggingface.co
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7-day runs: 2
30-day runs: 18
Model's Last Updated: September 04 2022
text-classification

Introduction of CancerTextV1

Model Details of CancerTextV1

CancerTextV1

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: 0.5476
  • Accuracy: 0.8683
  • Precision: 0.8558
  • Recall: 0.8870
  • F1: 0.8711
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
0.3268 1.0 600 0.3939 0.8475 0.8268 0.8804 0.8528
0.3132 2.0 1200 0.3510 0.8475 0.8509 0.8439 0.8474
0.2595 3.0 1800 0.3631 0.8617 0.8505 0.8787 0.8644
0.2256 4.0 2400 0.4303 0.8625 0.8507 0.8804 0.8653
0.1944 5.0 3000 0.4551 0.8642 0.8592 0.8721 0.8656
0.1734 6.0 3600 0.4673 0.86 0.8434 0.8854 0.8639
0.1446 7.0 4200 0.4960 0.87 0.8562 0.8904 0.8730
0.1371 8.0 4800 0.5162 0.8708 0.8646 0.8804 0.8724
0.123 9.0 5400 0.5396 0.8642 0.8604 0.8704 0.8654
0.1174 10.0 6000 0.5476 0.8683 0.8558 0.8870 0.8711
Framework versions
  • Transformers 4.21.2
  • Pytorch 1.12.1+cu113
  • Datasets 2.4.0
  • Tokenizers 0.12.1

Runs of Dinithi CancerTextV1 on huggingface.co

22
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0
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3-day runs
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30-day runs

More Information About CancerTextV1 huggingface.co Model

More CancerTextV1 license Visit here:

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

CancerTextV1 huggingface.co

CancerTextV1 huggingface.co is an AI model on huggingface.co that provides CancerTextV1's model effect (), which can be used instantly with this Dinithi CancerTextV1 model. huggingface.co supports a free trial of the CancerTextV1 model, and also provides paid use of the CancerTextV1. Support call CancerTextV1 model through api, including Node.js, Python, http.

CancerTextV1 huggingface.co Url

https://huggingface.co/Dinithi/CancerTextV1

Dinithi CancerTextV1 online free

CancerTextV1 huggingface.co is an online trial and call api platform, which integrates CancerTextV1's modeling effects, including api services, and provides a free online trial of CancerTextV1, you can try CancerTextV1 online for free by clicking the link below.

Dinithi CancerTextV1 online free url in huggingface.co:

https://huggingface.co/Dinithi/CancerTextV1

CancerTextV1 install

CancerTextV1 is an open source model from GitHub that offers a free installation service, and any user can find CancerTextV1 on GitHub to install. At the same time, huggingface.co provides the effect of CancerTextV1 install, users can directly use CancerTextV1 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

CancerTextV1 install url in huggingface.co:

https://huggingface.co/Dinithi/CancerTextV1

Url of CancerTextV1

CancerTextV1 huggingface.co Url

Provider of CancerTextV1 huggingface.co

Dinithi
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