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bertweet-base-finetuned-ref_disam

YSKartal / bertweet-base-finetuned-ref_disam

Run on huggingface.co
huggingface.co
Total runs: 2
24-hour runs: 0
7-day runs: -4
30-day runs: -3
Model's Last Updated: March 25 2023
text-classification

Introduction of bertweet-base-finetuned-ref_disam

Model Details of bertweet-base-finetuned-ref_disam

YSKartal/bertweet-base-finetuned-ref_disam

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

  • Train Loss: 6.1985
  • Validation Loss: 7.0638
  • Train Accuracy: 0.0133
  • 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', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 7764, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
  • training_precision: float32
Training results
Train Loss Validation Loss Train Accuracy Epoch
6.1967 7.0638 0.0133 0
6.1973 7.0638 0.0133 1
6.1992 7.0638 0.0133 2
6.1973 7.0638 0.0133 3
6.1985 7.0638 0.0133 4
Framework versions
  • Transformers 4.27.3
  • TensorFlow 2.11.0
  • Datasets 2.10.1
  • Tokenizers 0.13.2

Runs of YSKartal bertweet-base-finetuned-ref_disam on huggingface.co

2
Total runs
0
24-hour runs
0
3-day runs
-4
7-day runs
-3
30-day runs

More Information About bertweet-base-finetuned-ref_disam huggingface.co Model

bertweet-base-finetuned-ref_disam huggingface.co

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

bertweet-base-finetuned-ref_disam huggingface.co Url

https://huggingface.co/YSKartal/bertweet-base-finetuned-ref_disam

YSKartal bertweet-base-finetuned-ref_disam online free

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

YSKartal bertweet-base-finetuned-ref_disam online free url in huggingface.co:

https://huggingface.co/YSKartal/bertweet-base-finetuned-ref_disam

bertweet-base-finetuned-ref_disam install

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

bertweet-base-finetuned-ref_disam install url in huggingface.co:

https://huggingface.co/YSKartal/bertweet-base-finetuned-ref_disam

Url of bertweet-base-finetuned-ref_disam

bertweet-base-finetuned-ref_disam huggingface.co Url

Provider of bertweet-base-finetuned-ref_disam huggingface.co

YSKartal
ORGANIZATIONS
huggingface.co

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