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Hollow211
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ArabertHateSpeech

Text Classification
Transformers
PyTorch
bert
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Community
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Hollow211 commited on
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End of training

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  1. README.md +23 -8
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -6,6 +6,9 @@ datasets:
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  - offenseval_2020
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  metrics:
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  - accuracy
 
 
 
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  model-index:
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  - name: ArabertHateSpeech
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  results:
@@ -21,7 +24,16 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.9255610290093049
 
 
 
 
 
 
 
 
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,8 +43,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on the offenseval_2020 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3259
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- - Accuracy: 0.9256
 
 
 
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  ## Model description
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@@ -61,11 +76,11 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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- |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 0.1895 | 1.0 | 980 | 0.4345 | 0.9206 |
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- | 0.1472 | 2.0 | 1960 | 0.3537 | 0.9228 |
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- | 0.1365 | 3.0 | 2940 | 0.3259 | 0.9256 |
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  ### Framework versions
 
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  - offenseval_2020
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  metrics:
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  - accuracy
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+ - f1
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+ - precision
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+ - recall
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  model-index:
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  - name: ArabertHateSpeech
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  results:
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.9436234263820471
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+ - name: F1
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+ type: f1
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+ value: 0.8571428571428571
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+ - name: Precision
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+ type: precision
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+ value: 0.8778409090909091
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+ - name: Recall
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+ type: recall
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+ value: 0.8373983739837398
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on the offenseval_2020 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1829
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+ - Accuracy: 0.9436
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+ - F1: 0.8571
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+ - Precision: 0.8778
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+ - Recall: 0.8374
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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+ | 0.1799 | 1.0 | 980 | 0.1848 | 0.9299 | 0.8298 | 0.8146 | 0.8455 |
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+ | 0.0951 | 2.0 | 1960 | 0.1136 | 0.9398 | 0.8397 | 0.9085 | 0.7805 |
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+ | 0.0429 | 3.0 | 2940 | 0.1829 | 0.9436 | 0.8571 | 0.8778 | 0.8374 |
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  ### Framework versions
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