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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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- f1
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model-index:
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- name: Hate-Speech-Detection-mpnet-basev2
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results: []
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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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should probably proofread and complete it, then remove this comment. -->
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# Hate-Speech-Detection-mpnet-basev2
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This model is a fine-tuned version of [sentence-transformers/all-mpnet-base-v2](https://huggingface.co/sentence-transformers/all-mpnet-base-v2) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1518
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- Accuracy: 0.9809
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- F1: 0.9778
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 15
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
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| 0.0866 | 1.0 | 2558 | 0.0748 | 0.9778 | 0.9742 |
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| 0.0634 | 2.0 | 5116 | 0.1144 | 0.9751 | 0.9704 |
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| 0.031 | 3.0 | 7674 | 0.1222 | 0.9799 | 0.9765 |
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| 0.0301 | 4.0 | 10232 | 0.1427 | 0.9735 | 0.9696 |
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| 0.01 | 5.0 | 12790 | 0.1413 | 0.9806 | 0.9773 |
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| 0.0133 | 6.0 | 15348 | 0.1543 | 0.9801 | 0.9767 |
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| 0.0086 | 7.0 | 17906 | 0.1672 | 0.9798 | 0.9766 |
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| 0.0059 | 8.0 | 20464 | 0.1518 | 0.9809 | 0.9778 |
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| 0.002 | 9.0 | 23022 | 0.1726 | 0.9782 | 0.9747 |
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| 0.0034 | 10.0 | 25580 | 0.1799 | 0.9798 | 0.9764 |
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| 0.001 | 11.0 | 28138 | 0.2018 | 0.9785 | 0.9750 |
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| 0.0004 | 12.0 | 30696 | 0.1957 | 0.9794 | 0.9759 |
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| 0.0008 | 13.0 | 33254 | 0.2166 | 0.9788 | 0.9754 |
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### Framework versions
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- Transformers 4.26.1
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- Pytorch 2.0.1
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- Datasets 2.10.1
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- Tokenizers 0.13.3
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