abdulrahman-nuzha / sentiment_model-arabert

huggingface.co
Total runs: 5
24-hour runs: 0
7-day runs: 0
30-day runs: 0
Model's Last Updated: March 10 2025
text-classification

Introduction of sentiment_model-arabert

Model Details of sentiment_model-arabert

sentiment_model-arabert

This model is a fine-tuned version of aubmindlab/bert-base-arabertv2 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.0670
  • Accuracy: 0.407
  • Precision: 0.5425
  • Recall: 0.407
  • F1: 0.3038
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: 8
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 64
  • optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 3
  • mixed_precision_training: Native AMP
Training results
Framework versions
  • Transformers 4.48.3
  • Pytorch 2.5.1+cu124
  • Datasets 3.3.2
  • Tokenizers 0.21.0

Runs of abdulrahman-nuzha sentiment_model-arabert on huggingface.co

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

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

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https://huggingface.co/abdulrahman-nuzha/sentiment_model-arabert

sentiment_model-arabert install

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

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https://huggingface.co/abdulrahman-nuzha/sentiment_model-arabert

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