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--- |
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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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metrics: |
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- accuracy |
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model-index: |
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- name: toxic-text-classifier |
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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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# toxic-text-classifier |
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4112 |
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- Accuracy: 0.822 |
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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: 5e-05 |
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- train_batch_size: 10 |
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- eval_batch_size: 10 |
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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: 0.2 |
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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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| No log | 0.01 | 10 | 0.6865 | 0.506 | |
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| No log | 0.02 | 20 | 0.6444 | 0.566 | |
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| No log | 0.03 | 30 | 0.5503 | 0.727 | |
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| No log | 0.04 | 40 | 0.5212 | 0.75 | |
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| No log | 0.05 | 50 | 0.4971 | 0.769 | |
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| No log | 0.06 | 60 | 0.4597 | 0.787 | |
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| No log | 0.07 | 70 | 0.4458 | 0.796 | |
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| No log | 0.08 | 80 | 0.4340 | 0.802 | |
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| No log | 0.09 | 90 | 0.4339 | 0.814 | |
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| No log | 0.1 | 100 | 0.4602 | 0.801 | |
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| No log | 0.11 | 110 | 0.4563 | 0.799 | |
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| No log | 0.12 | 120 | 0.4445 | 0.808 | |
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| No log | 0.13 | 130 | 0.4654 | 0.8 | |
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| No log | 0.14 | 140 | 0.4516 | 0.804 | |
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| No log | 0.15 | 150 | 0.4326 | 0.809 | |
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| No log | 0.16 | 160 | 0.4144 | 0.814 | |
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| No log | 0.17 | 170 | 0.4091 | 0.822 | |
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| No log | 0.18 | 180 | 0.4086 | 0.822 | |
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| No log | 0.19 | 190 | 0.4099 | 0.822 | |
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| No log | 0.2 | 200 | 0.4112 | 0.822 | |
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### Framework versions |
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- Transformers 4.32.1 |
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- Pytorch 2.0.1 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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