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--- |
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license: apache-2.0 |
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base_model: line-corporation/line-distilbert-base-japanese |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: toxicity-score-multi-classification |
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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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# toxicity-score-multi-classification |
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This model is a fine-tuned version of [line-corporation/line-distilbert-base-japanese](https://huggingface.co/line-corporation/line-distilbert-base-japanese) on a [Japanese toxicity dataset](https://github.com/inspection-ai/japanese-toxic-dataset/tree/main). |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2649 |
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- Roc Auc: 0.7992 |
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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: 8.133692392125703e-06 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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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: 30 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Roc Auc | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:| |
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| No log | 1.0 | 20 | 0.6213 | 0.5148 | |
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| No log | 2.0 | 40 | 0.4762 | 0.4616 | |
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| No log | 3.0 | 60 | 0.3754 | 0.5830 | |
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| No log | 4.0 | 80 | 0.3314 | 0.5706 | |
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| No log | 5.0 | 100 | 0.3140 | 0.5740 | |
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| No log | 6.0 | 120 | 0.3067 | 0.6238 | |
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| No log | 7.0 | 140 | 0.3010 | 0.6645 | |
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| No log | 8.0 | 160 | 0.2975 | 0.7177 | |
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| No log | 9.0 | 180 | 0.2949 | 0.7392 | |
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| No log | 10.0 | 200 | 0.2892 | 0.7731 | |
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| No log | 11.0 | 220 | 0.2828 | 0.7954 | |
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| No log | 12.0 | 240 | 0.2827 | 0.7932 | |
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| No log | 13.0 | 260 | 0.2756 | 0.7984 | |
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| No log | 14.0 | 280 | 0.2715 | 0.8052 | |
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| No log | 15.0 | 300 | 0.2733 | 0.8100 | |
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| No log | 16.0 | 320 | 0.2754 | 0.8142 | |
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| No log | 17.0 | 340 | 0.2668 | 0.8130 | |
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| No log | 18.0 | 360 | 0.2642 | 0.8138 | |
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| No log | 19.0 | 380 | 0.2639 | 0.8117 | |
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| No log | 20.0 | 400 | 0.2659 | 0.8052 | |
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| No log | 21.0 | 420 | 0.2646 | 0.8082 | |
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| No log | 22.0 | 440 | 0.2643 | 0.8039 | |
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| No log | 23.0 | 460 | 0.2646 | 0.8022 | |
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| No log | 24.0 | 480 | 0.2644 | 0.8044 | |
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| 0.2305 | 25.0 | 500 | 0.2639 | 0.8035 | |
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| 0.2305 | 26.0 | 520 | 0.2639 | 0.8027 | |
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| 0.2305 | 27.0 | 540 | 0.2647 | 0.8001 | |
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| 0.2305 | 28.0 | 560 | 0.2643 | 0.8005 | |
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| 0.2305 | 29.0 | 580 | 0.2649 | 0.8001 | |
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| 0.2305 | 30.0 | 600 | 0.2649 | 0.7992 | |
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### Framework versions |
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- Transformers 4.34.0 |
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- Pytorch 2.0.1 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.0 |
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