Apv / Flaubert_1106

huggingface.co
Total runs: 3
24-hour runs: 0
7-day runs: -1
30-day runs: -5
Model's Last Updated: June 12 2023
text-classification

Introduction of Flaubert_1106

Model Details of Flaubert_1106

Apv/Distilbert_1106

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

  • Train Loss: 0.3007
  • Validation Loss: 0.4962
  • Train Accuracy: 0.8070
  • Epoch: 6
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': 1432, '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
1.0860 0.8075 0.7018 0
0.6507 0.6038 0.7895 1
0.4485 0.5094 0.8095 2
0.3590 0.4962 0.8070 3
0.2974 0.4962 0.8070 4
0.3037 0.4962 0.8070 5
0.3007 0.4962 0.8070 6
Framework versions
  • Transformers 4.30.1
  • TensorFlow 2.12.0
  • Datasets 2.12.0
  • Tokenizers 0.13.3

Runs of Apv Flaubert_1106 on huggingface.co

3
Total runs
0
24-hour runs
0
3-day runs
-1
7-day runs
-5
30-day runs

More Information About Flaubert_1106 huggingface.co Model

More Flaubert_1106 license Visit here:

https://choosealicense.com/licenses/mit

Flaubert_1106 huggingface.co

Flaubert_1106 huggingface.co is an AI model on huggingface.co that provides Flaubert_1106's model effect (), which can be used instantly with this Apv Flaubert_1106 model. huggingface.co supports a free trial of the Flaubert_1106 model, and also provides paid use of the Flaubert_1106. Support call Flaubert_1106 model through api, including Node.js, Python, http.

Flaubert_1106 huggingface.co Url

https://huggingface.co/Apv/Flaubert_1106

Apv Flaubert_1106 online free

Flaubert_1106 huggingface.co is an online trial and call api platform, which integrates Flaubert_1106's modeling effects, including api services, and provides a free online trial of Flaubert_1106, you can try Flaubert_1106 online for free by clicking the link below.

Apv Flaubert_1106 online free url in huggingface.co:

https://huggingface.co/Apv/Flaubert_1106

Flaubert_1106 install

Flaubert_1106 is an open source model from GitHub that offers a free installation service, and any user can find Flaubert_1106 on GitHub to install. At the same time, huggingface.co provides the effect of Flaubert_1106 install, users can directly use Flaubert_1106 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

Flaubert_1106 install url in huggingface.co:

https://huggingface.co/Apv/Flaubert_1106

Url of Flaubert_1106

Flaubert_1106 huggingface.co Url

Provider of Flaubert_1106 huggingface.co

Apv
ORGANIZATIONS

Other API from Apv

huggingface.co

Total runs: 5
Run Growth: 1
Growth Rate: 20.00%
Updated:June 14 2023
huggingface.co

Total runs: 4
Run Growth: 2
Growth Rate: 50.00%
Updated:June 09 2023
huggingface.co

Total runs: 4
Run Growth: -2
Growth Rate: -50.00%
Updated:April 30 2023
huggingface.co

Total runs: 3
Run Growth: 0
Growth Rate: 0.00%
Updated:April 23 2023
huggingface.co

Total runs: 2
Run Growth: -6
Growth Rate: -300.00%
Updated:June 14 2023
huggingface.co

Total runs: 2
Run Growth: -5
Growth Rate: -250.00%
Updated:April 27 2023
huggingface.co

Total runs: 0
Run Growth: 0
Growth Rate: 0.00%
Updated:July 04 2023
huggingface.co

Total runs: 0
Run Growth: 0
Growth Rate: 0.00%
Updated:June 10 2023
huggingface.co

Total runs: 0
Run Growth: 0
Growth Rate: 0.00%
Updated:June 14 2023