YakovElm / Apache20Classic_MSE_Sample

huggingface.co
Total runs: 5
24-hour runs: 0
7-day runs: -1
30-day runs: 4
Model's Last Updated: June 10 2023
text-classification

Introduction of Apache20Classic_MSE_Sample

Model Details of Apache20Classic_MSE_Sample

Apache20Classic_MSE_Sample

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

  • Train Loss: 0.0013
  • Train Accuracy: 0.4952
  • Validation Loss: 0.0032
  • Validation Accuracy: 0.7516
  • 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': 'Adam', 'weight_decay': None, 'clipnorm': 1.0, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': False, 'is_legacy_optimizer': False, 'learning_rate': 3e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
  • training_precision: float32
Training results
Train Loss Train Accuracy Validation Loss Validation Accuracy Epoch
0.0015 0.4970 0.0033 0.8729 0
0.0014 0.5113 0.0031 0.1832 1
0.0013 0.4952 0.0032 0.7516 2
Framework versions
  • Transformers 4.29.2
  • TensorFlow 2.12.0
  • Datasets 2.12.0
  • Tokenizers 0.13.3

Runs of YakovElm Apache20Classic_MSE_Sample on huggingface.co

5
Total runs
0
24-hour runs
0
3-day runs
-1
7-day runs
4
30-day runs

More Information About Apache20Classic_MSE_Sample huggingface.co Model

More Apache20Classic_MSE_Sample license Visit here:

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

Apache20Classic_MSE_Sample huggingface.co

Apache20Classic_MSE_Sample huggingface.co is an AI model on huggingface.co that provides Apache20Classic_MSE_Sample's model effect (), which can be used instantly with this YakovElm Apache20Classic_MSE_Sample model. huggingface.co supports a free trial of the Apache20Classic_MSE_Sample model, and also provides paid use of the Apache20Classic_MSE_Sample. Support call Apache20Classic_MSE_Sample model through api, including Node.js, Python, http.

Apache20Classic_MSE_Sample huggingface.co Url

https://huggingface.co/YakovElm/Apache20Classic_MSE_Sample

YakovElm Apache20Classic_MSE_Sample online free

Apache20Classic_MSE_Sample huggingface.co is an online trial and call api platform, which integrates Apache20Classic_MSE_Sample's modeling effects, including api services, and provides a free online trial of Apache20Classic_MSE_Sample, you can try Apache20Classic_MSE_Sample online for free by clicking the link below.

YakovElm Apache20Classic_MSE_Sample online free url in huggingface.co:

https://huggingface.co/YakovElm/Apache20Classic_MSE_Sample

Apache20Classic_MSE_Sample install

Apache20Classic_MSE_Sample is an open source model from GitHub that offers a free installation service, and any user can find Apache20Classic_MSE_Sample on GitHub to install. At the same time, huggingface.co provides the effect of Apache20Classic_MSE_Sample install, users can directly use Apache20Classic_MSE_Sample installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

Apache20Classic_MSE_Sample install url in huggingface.co:

https://huggingface.co/YakovElm/Apache20Classic_MSE_Sample

Url of Apache20Classic_MSE_Sample

Apache20Classic_MSE_Sample huggingface.co Url

Provider of Apache20Classic_MSE_Sample huggingface.co

YakovElm
ORGANIZATIONS

Other API from YakovElm

huggingface.co

Total runs: 12
Run Growth: 0
Growth Rate: 0.00%
Updated:May 23 2023