alexgeh196 / sentiment_model

huggingface.co
Total runs: 4
24-hour runs: -1
7-day runs: 0
30-day runs: -3
Model's Last Updated: December 16 2022
text-classification

Introduction of sentiment_model

Model Details of sentiment_model

sentiment_model

This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3852
  • Accuracy: 0.8424
  • F1: 0.8398
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:

  • learning_rate: 2e-05
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 2
Training results
Framework versions
  • Transformers 4.25.1
  • Pytorch 1.12.1+cu113
  • Datasets 2.7.1
  • Tokenizers 0.13.2

Runs of alexgeh196 sentiment_model on huggingface.co

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

More Information About sentiment_model huggingface.co Model

More sentiment_model license Visit here:

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

sentiment_model huggingface.co

sentiment_model huggingface.co is an AI model on huggingface.co that provides sentiment_model's model effect (), which can be used instantly with this alexgeh196 sentiment_model model. huggingface.co supports a free trial of the sentiment_model model, and also provides paid use of the sentiment_model. Support call sentiment_model model through api, including Node.js, Python, http.

sentiment_model huggingface.co Url

https://huggingface.co/alexgeh196/sentiment_model

alexgeh196 sentiment_model online free

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

alexgeh196 sentiment_model online free url in huggingface.co:

https://huggingface.co/alexgeh196/sentiment_model

sentiment_model install

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

sentiment_model install url in huggingface.co:

https://huggingface.co/alexgeh196/sentiment_model

Url of sentiment_model

sentiment_model huggingface.co Url

Provider of sentiment_model huggingface.co

alexgeh196
ORGANIZATIONS

Other API from alexgeh196

huggingface.co

Total runs: 0
Run Growth: 0
Growth Rate: 0.00%
Updated:December 16 2022