YSKartal / SSCI-SciBERT-e2-finetuned-svident

huggingface.co
Total runs: 3
24-hour runs: 0
7-day runs: -2
30-day runs: -7
Model's Last Updated: January 04 2024
text-classification

Introduction of SSCI-SciBERT-e2-finetuned-svident

Model Details of SSCI-SciBERT-e2-finetuned-svident

YSKartal/SSCI-SciBERT-e2-finetuned-svident

This model is a fine-tuned version of KM4STfulltext/SSCI-SciBERT-e2 on an unknown dataset. It achieves the following results on the evaluation set:

  • Train Loss: 0.1916
  • Validation Loss: 0.4552
  • Train F1: 0.7665
  • Epoch: 4
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:

  • optimizer: {'name': 'Adam', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 351, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
  • training_precision: float32
Training results
Train Loss Validation Loss Train F1 Epoch
0.1946 0.4552 0.7665 0
0.1944 0.4552 0.7665 1
0.1928 0.4552 0.7665 2
0.1963 0.4552 0.7665 3
0.1916 0.4552 0.7665 4
Framework versions
  • Transformers 4.24.0
  • TensorFlow 2.9.2
  • Datasets 2.6.1
  • Tokenizers 0.13.2

Runs of YSKartal SSCI-SciBERT-e2-finetuned-svident on huggingface.co

3
Total runs
0
24-hour runs
0
3-day runs
-2
7-day runs
-7
30-day runs

More Information About SSCI-SciBERT-e2-finetuned-svident huggingface.co Model

More SSCI-SciBERT-e2-finetuned-svident license Visit here:

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

SSCI-SciBERT-e2-finetuned-svident huggingface.co

SSCI-SciBERT-e2-finetuned-svident huggingface.co is an AI model on huggingface.co that provides SSCI-SciBERT-e2-finetuned-svident's model effect (), which can be used instantly with this YSKartal SSCI-SciBERT-e2-finetuned-svident model. huggingface.co supports a free trial of the SSCI-SciBERT-e2-finetuned-svident model, and also provides paid use of the SSCI-SciBERT-e2-finetuned-svident. Support call SSCI-SciBERT-e2-finetuned-svident model through api, including Node.js, Python, http.

SSCI-SciBERT-e2-finetuned-svident huggingface.co Url

https://huggingface.co/YSKartal/SSCI-SciBERT-e2-finetuned-svident

YSKartal SSCI-SciBERT-e2-finetuned-svident online free

SSCI-SciBERT-e2-finetuned-svident huggingface.co is an online trial and call api platform, which integrates SSCI-SciBERT-e2-finetuned-svident's modeling effects, including api services, and provides a free online trial of SSCI-SciBERT-e2-finetuned-svident, you can try SSCI-SciBERT-e2-finetuned-svident online for free by clicking the link below.

YSKartal SSCI-SciBERT-e2-finetuned-svident online free url in huggingface.co:

https://huggingface.co/YSKartal/SSCI-SciBERT-e2-finetuned-svident

SSCI-SciBERT-e2-finetuned-svident install

SSCI-SciBERT-e2-finetuned-svident is an open source model from GitHub that offers a free installation service, and any user can find SSCI-SciBERT-e2-finetuned-svident on GitHub to install. At the same time, huggingface.co provides the effect of SSCI-SciBERT-e2-finetuned-svident install, users can directly use SSCI-SciBERT-e2-finetuned-svident installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

SSCI-SciBERT-e2-finetuned-svident install url in huggingface.co:

https://huggingface.co/YSKartal/SSCI-SciBERT-e2-finetuned-svident

Url of SSCI-SciBERT-e2-finetuned-svident

SSCI-SciBERT-e2-finetuned-svident huggingface.co Url

Provider of SSCI-SciBERT-e2-finetuned-svident huggingface.co

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