javilonso / classificationEsp2_Attraction

huggingface.co
Total runs: 4
24-hour runs: 0
7-day runs: 0
30-day runs: -1
Model's Last Updated: March 30 2022
text-classification

Introduction of classificationEsp2_Attraction

Model Details of classificationEsp2_Attraction

javilonso/classificationEsp2_Attraction

This model is a fine-tuned version of PlanTL-GOB-ES/roberta-large-bne on an unknown dataset. It achieves the following results on the evaluation set:

  • Train Loss: 0.9927
  • Validation Loss: 0.9926
  • Epoch: 2
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': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 35916, '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, 'weight_decay_rate': 0.01}
  • training_precision: mixed_float16
Training results
Train Loss Validation Loss Epoch
0.8200 0.9930 0
0.9942 0.9947 1
0.9927 0.9926 2
Framework versions
  • Transformers 4.17.0
  • TensorFlow 2.6.0
  • Datasets 2.0.0
  • Tokenizers 0.11.6

Runs of javilonso classificationEsp2_Attraction on huggingface.co

4
Total runs
0
24-hour runs
0
3-day runs
0
7-day runs
-1
30-day runs

More Information About classificationEsp2_Attraction huggingface.co Model

More classificationEsp2_Attraction license Visit here:

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

classificationEsp2_Attraction huggingface.co

classificationEsp2_Attraction huggingface.co is an AI model on huggingface.co that provides classificationEsp2_Attraction's model effect (), which can be used instantly with this javilonso classificationEsp2_Attraction model. huggingface.co supports a free trial of the classificationEsp2_Attraction model, and also provides paid use of the classificationEsp2_Attraction. Support call classificationEsp2_Attraction model through api, including Node.js, Python, http.

classificationEsp2_Attraction huggingface.co Url

https://huggingface.co/javilonso/classificationEsp2_Attraction

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javilonso classificationEsp2_Attraction online free url in huggingface.co:

https://huggingface.co/javilonso/classificationEsp2_Attraction

classificationEsp2_Attraction install

classificationEsp2_Attraction is an open source model from GitHub that offers a free installation service, and any user can find classificationEsp2_Attraction on GitHub to install. At the same time, huggingface.co provides the effect of classificationEsp2_Attraction install, users can directly use classificationEsp2_Attraction installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

classificationEsp2_Attraction install url in huggingface.co:

https://huggingface.co/javilonso/classificationEsp2_Attraction

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classificationEsp2_Attraction huggingface.co Url

Provider of classificationEsp2_Attraction huggingface.co

javilonso
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