apwic / sentiment-base-4

huggingface.co
Total runs: 23
24-hour runs: -1
7-day runs: 4
30-day runs: 19
Model's Last Updated: June 03 2024

Introduction of sentiment-base-4

Model Details of sentiment-base-4

sentiment-base-4

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

  • Loss: 0.8053
  • Accuracy: 0.8922
  • Precision: 0.8694
  • Recall: 0.8712
  • F1: 0.8703
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: 5e-05
  • train_batch_size: 30
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 20.0
Training results
Training Loss Epoch Step Validation Loss Accuracy Precision Recall F1
0.371 1.0 122 0.2789 0.8847 0.8717 0.8434 0.8557
0.214 2.0 244 0.2703 0.8947 0.8682 0.8855 0.8760
0.141 3.0 366 0.4446 0.8747 0.8586 0.8313 0.8431
0.093 4.0 488 0.5896 0.8697 0.8520 0.8253 0.8368
0.0469 5.0 610 0.6099 0.8797 0.8530 0.8599 0.8563
0.0498 6.0 732 0.6610 0.8997 0.9016 0.8516 0.8715
0.0257 7.0 854 0.6781 0.8872 0.8917 0.8302 0.8532
0.0267 8.0 976 0.8200 0.8872 0.8951 0.8277 0.8523
0.016 9.0 1098 0.5966 0.8997 0.8740 0.8916 0.8819
0.0132 10.0 1220 0.6437 0.9023 0.8792 0.8883 0.8835
0.0161 11.0 1342 0.6797 0.9073 0.8920 0.8819 0.8867
0.0091 12.0 1464 0.6954 0.9098 0.8999 0.8787 0.8883
0.0101 13.0 1586 0.6751 0.9123 0.8910 0.9004 0.8955
0.0025 14.0 1708 0.7317 0.9023 0.8934 0.8658 0.8780
0.0088 15.0 1830 0.6789 0.8897 0.8670 0.8670 0.8670
0.0017 16.0 1952 0.7505 0.8897 0.8659 0.8695 0.8676
0.0017 17.0 2074 0.7756 0.8897 0.8659 0.8695 0.8676
0.0011 18.0 2196 0.8041 0.8922 0.8673 0.8763 0.8716
0.0017 19.0 2318 0.8064 0.8922 0.8694 0.8712 0.8703
0.0008 20.0 2440 0.8053 0.8922 0.8694 0.8712 0.8703
Framework versions
  • Transformers 4.39.3
  • Pytorch 2.3.0+cu121
  • Datasets 2.19.1
  • Tokenizers 0.15.2

Runs of apwic sentiment-base-4 on huggingface.co

23
Total runs
-1
24-hour runs
0
3-day runs
4
7-day runs
19
30-day runs

More Information About sentiment-base-4 huggingface.co Model

More sentiment-base-4 license Visit here:

https://choosealicense.com/licenses/mit

sentiment-base-4 huggingface.co

sentiment-base-4 huggingface.co is an AI model on huggingface.co that provides sentiment-base-4's model effect (), which can be used instantly with this apwic sentiment-base-4 model. huggingface.co supports a free trial of the sentiment-base-4 model, and also provides paid use of the sentiment-base-4. Support call sentiment-base-4 model through api, including Node.js, Python, http.

sentiment-base-4 huggingface.co Url

https://huggingface.co/apwic/sentiment-base-4

apwic sentiment-base-4 online free

sentiment-base-4 huggingface.co is an online trial and call api platform, which integrates sentiment-base-4's modeling effects, including api services, and provides a free online trial of sentiment-base-4, you can try sentiment-base-4 online for free by clicking the link below.

apwic sentiment-base-4 online free url in huggingface.co:

https://huggingface.co/apwic/sentiment-base-4

sentiment-base-4 install

sentiment-base-4 is an open source model from GitHub that offers a free installation service, and any user can find sentiment-base-4 on GitHub to install. At the same time, huggingface.co provides the effect of sentiment-base-4 install, users can directly use sentiment-base-4 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

sentiment-base-4 install url in huggingface.co:

https://huggingface.co/apwic/sentiment-base-4

Url of sentiment-base-4

sentiment-base-4 huggingface.co Url

Provider of sentiment-base-4 huggingface.co

apwic
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