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toxic_classification_model
MinhND2301/toxic_classification_model
toxic_classification_model is a text classification model from MinhND2301. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- roberta
- Access
- Public
- Created
- Oct 8, 2023
- Updated
- Apr 27, 2024
- SHA
- 991d2f47
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Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
toxic_classification_model
This model is a fine-tuned version of MinhND2301/toxic_classification_model on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3017
- Accuracy: 0.9108
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 436 | 0.2677 | 0.9009 |
| 0.1858 | 2.0 | 872 | 0.2940 | 0.9030 |
| 0.151 | 3.0 | 1308 | 0.3017 | 0.9108 |
Framework versions
- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- Created
- Oct 8, 2023
- Updated
- Apr 27, 2024