End of training

README.md

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+---
+license: apache-2.0
+base_model: line-corporation/line-distilbert-base-japanese
+tags:
+- generated_from_trainer
+model-index:
+- name: toxicity-classification-multi-class
+  results: []
+---
+
+<!-- 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. -->
+
+# toxicity-classification-multi-class
+
+This model is a fine-tuned version of [line-corporation/line-distilbert-base-japanese](https://huggingface.co/line-corporation/line-distilbert-base-japanese) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2642
+- Roc Auc: 0.8447
+
+## 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: 8.133692392125703e-06
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 20
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Roc Auc |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| No log        | 1.0   | 20   | 0.5432          | 0.4938  |
+| No log        | 2.0   | 40   | 0.4458          | 0.5062  |
+| No log        | 3.0   | 60   | 0.3768          | 0.5753  |
+| No log        | 4.0   | 80   | 0.3401          | 0.6401  |
+| No log        | 5.0   | 100  | 0.3228          | 0.7297  |
+| No log        | 6.0   | 120  | 0.3134          | 0.7894  |
+| No log        | 7.0   | 140  | 0.3061          | 0.8185  |
+| No log        | 8.0   | 160  | 0.3000          | 0.8331  |
+| No log        | 9.0   | 180  | 0.2949          | 0.8451  |
+| No log        | 10.0  | 200  | 0.2864          | 0.8434  |
+| No log        | 11.0  | 220  | 0.2794          | 0.8473  |
+| No log        | 12.0  | 240  | 0.2748          | 0.8481  |
+| No log        | 13.0  | 260  | 0.2724          | 0.8404  |
+| No log        | 14.0  | 280  | 0.2685          | 0.8400  |
+| No log        | 15.0  | 300  | 0.2668          | 0.8451  |
+| No log        | 16.0  | 320  | 0.2670          | 0.8481  |
+| No log        | 17.0  | 340  | 0.2651          | 0.8430  |
+| No log        | 18.0  | 360  | 0.2651          | 0.8434  |
+| No log        | 19.0  | 380  | 0.2642          | 0.8434  |
+| No log        | 20.0  | 400  | 0.2642          | 0.8447  |
+
+
+### Framework versions
+
+- Transformers 4.34.0
+- Pytorch 2.0.1
+- Datasets 2.14.5
+- Tokenizers 0.14.0

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