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IndoBERT-Sentiment-Analysis

crypter70 / IndoBERT-Sentiment-Analysis

Run on huggingface.co
huggingface.co
Total runs: 429
24-hour runs: 0
7-day runs: 47
30-day runs: 227
Model's Last Updated: March 30 2024
text-classification

Introduction of IndoBERT-Sentiment-Analysis

Model Details of IndoBERT-Sentiment-Analysis

IndoBERT-Sentiment-Analysis

This model is a fine-tuned version of indobenchmark/indobert-base-p1 on the indonlu dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4221
  • Accuracy: 0.9452
  • F1 Score: 0.9451
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: 6
  • eval_batch_size: 6
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5
Training results
Training Loss Epoch Step Validation Loss Accuracy F1 Score
0.3499 0.27 500 0.2392 0.9310 0.9311
0.3181 0.55 1000 0.3354 0.9175 0.9158
0.3001 0.82 1500 0.2965 0.9238 0.9243
0.2534 1.09 2000 0.3513 0.9222 0.9218
0.1692 1.36 2500 0.2657 0.9405 0.9399
0.1543 1.64 3000 0.4046 0.9198 0.9191
0.1827 1.91 3500 0.2800 0.9317 0.9319
0.1061 2.18 4000 0.3352 0.9389 0.9389
0.0639 2.45 4500 0.4033 0.9373 0.9365
0.0709 2.73 5000 0.3508 0.9365 0.9360
0.0922 3.0 5500 0.3313 0.9397 0.9394
0.0274 3.27 6000 0.3635 0.9444 0.9440
0.0273 3.54 6500 0.4074 0.9389 0.9387
0.0414 3.82 7000 0.3863 0.9405 0.9405
0.0156 4.09 7500 0.4128 0.9413 0.9412
0.0067 4.36 8000 0.4469 0.9397 0.9399
0.0056 4.63 8500 0.4297 0.9444 0.9445
0.0124 4.91 9000 0.4227 0.9452 0.9451
Framework versions
  • Transformers 4.39.0.dev0
  • Pytorch 2.1.0.dev20230729
  • Datasets 2.14.0
  • Tokenizers 0.15.2

Runs of crypter70 IndoBERT-Sentiment-Analysis on huggingface.co

429
Total runs
0
24-hour runs
37
3-day runs
47
7-day runs
227
30-day runs

More Information About IndoBERT-Sentiment-Analysis huggingface.co Model

More IndoBERT-Sentiment-Analysis license Visit here:

https://choosealicense.com/licenses/mit

IndoBERT-Sentiment-Analysis huggingface.co

IndoBERT-Sentiment-Analysis huggingface.co is an AI model on huggingface.co that provides IndoBERT-Sentiment-Analysis's model effect (), which can be used instantly with this crypter70 IndoBERT-Sentiment-Analysis model. huggingface.co supports a free trial of the IndoBERT-Sentiment-Analysis model, and also provides paid use of the IndoBERT-Sentiment-Analysis. Support call IndoBERT-Sentiment-Analysis model through api, including Node.js, Python, http.

IndoBERT-Sentiment-Analysis huggingface.co Url

https://huggingface.co/crypter70/IndoBERT-Sentiment-Analysis

crypter70 IndoBERT-Sentiment-Analysis online free

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

crypter70 IndoBERT-Sentiment-Analysis online free url in huggingface.co:

https://huggingface.co/crypter70/IndoBERT-Sentiment-Analysis

IndoBERT-Sentiment-Analysis install

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

IndoBERT-Sentiment-Analysis install url in huggingface.co:

https://huggingface.co/crypter70/IndoBERT-Sentiment-Analysis

Url of IndoBERT-Sentiment-Analysis

IndoBERT-Sentiment-Analysis huggingface.co Url

Provider of IndoBERT-Sentiment-Analysis huggingface.co

crypter70
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huggingface.co