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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: distilbert-base-uncased |
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tags: |
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- generated_from_trainer |
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datasets: |
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- jigsaw_toxicity_pred |
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metrics: |
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- f1 |
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- accuracy |
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model-index: |
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- name: final_model_toxicity_classification |
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results: |
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- task: |
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name: Text Classification |
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type: text-classification |
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dataset: |
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name: jigsaw_toxicity_pred |
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type: jigsaw_toxicity_pred |
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config: default |
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split: test |
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args: default |
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metrics: |
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- name: F1 |
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type: f1 |
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value: 0.6775510204081633 |
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- name: Accuracy |
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type: accuracy |
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value: 0.921 |
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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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# final_model_toxicity_classification |
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the jigsaw_toxicity_pred dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2702 |
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- F1: 0.6776 |
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- Accuracy: 0.921 |
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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: 4.910748967246961e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 2 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:--------:| |
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| 0.0959 | 1.0 | 4987 | 0.1663 | 0.7248 | 0.94 | |
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| 0.0527 | 2.0 | 9974 | 0.2702 | 0.6776 | 0.921 | |
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### Framework versions |
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- Transformers 4.52.4 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 3.6.0 |
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- Tokenizers 0.21.1 |
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