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BERT

Dinithi / BERT

Run on huggingface.co
huggingface.co
Total runs: 19
24-hour runs: 0
7-day runs: -1
30-day runs: 14
Model's Last Updated: September 04 2022
text-classification

Introduction of BERT

Model Details of BERT

BERT

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: 0.8223
  • Accuracy: 0.82
  • Precision: 0.84
  • Recall: 0.9130
  • F1: 0.8750
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
  • 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
0.6778 1.0 50 0.6148 0.69 0.7794 0.7681 0.7737
0.5331 2.0 100 0.5578 0.8 0.8267 0.8986 0.8611
0.3768 3.0 150 0.5052 0.73 0.8889 0.6957 0.7805
0.2802 4.0 200 0.4998 0.86 0.8667 0.9420 0.9028
0.1869 5.0 250 0.5187 0.81 0.8906 0.8261 0.8571
0.1293 6.0 300 0.6516 0.85 0.8649 0.9275 0.8951
0.1165 7.0 350 0.6541 0.82 0.8806 0.8551 0.8676
0.0937 8.0 400 0.6855 0.84 0.8841 0.8841 0.8841
0.0791 9.0 450 0.7652 0.81 0.8472 0.8841 0.8652
0.0599 10.0 500 0.8223 0.82 0.84 0.9130 0.8750
Framework versions
  • Transformers 4.21.2
  • Pytorch 1.12.1+cu113
  • Datasets 2.4.0
  • Tokenizers 0.12.1

Runs of Dinithi BERT on huggingface.co

19
Total runs
0
24-hour runs
0
3-day runs
-1
7-day runs
14
30-day runs

More Information About BERT huggingface.co Model

More BERT license Visit here:

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

BERT huggingface.co

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

BERT huggingface.co Url

https://huggingface.co/Dinithi/BERT

Dinithi BERT online free

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

Dinithi BERT online free url in huggingface.co:

https://huggingface.co/Dinithi/BERT

BERT install

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

BERT install url in huggingface.co:

https://huggingface.co/Dinithi/BERT

Url of BERT

Provider of BERT huggingface.co

Dinithi
ORGANIZATIONS
huggingface.co

Other API from Dinithi

 huggingface.co
Dinithi/MAS

Total runs: 24
Run Growth: 14
Growth Rate: 58.33%
Updated:April 04 2023
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Dinithi/models

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Run Growth: 0
Growth Rate: 0.00%
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Dinithi/BlueBERT

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Run Growth: 7
Growth Rate: 33.33%
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Dinithi/CancerTextV1

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Run Growth: 14
Growth Rate: 66.67%
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Dinithi/CancerTextV3

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Run Growth: 14
Growth Rate: 70.00%
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Dinithi/BioBERT

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Run Growth: 16
Growth Rate: 80.00%
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Dinithi/CancerTextV2

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Run Growth: 11
Growth Rate: 73.33%
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Dinithi/ClinicalBERT

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Run Growth: 7
Growth Rate: 53.85%
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Dinithi/Model

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Run Growth: 4
Growth Rate: 33.33%
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Dinithi/NewModel

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Growth Rate: 50.00%
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Dinithi/MA

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Run Growth: 1
Growth Rate: 14.29%
Updated:March 28 2023
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Dinithi/Mo

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Growth Rate: 42.86%
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Dinithi/Ag

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Dinithi/AgitationV1

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Dinithi/CADini

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Dinithi/Pracyice2

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Dinithi/Pracyice4

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Dinithi/QLAMA

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Dinithi/TwitterlV1

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Dinithi/Pracyice1

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Updated:October 18 2022
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Dinithi/Pracyice3

Total runs: 0
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Updated:October 19 2022
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Dinithi/Pracyice

Total runs: 0
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Growth Rate: 0.00%
Updated:October 18 2022