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README.md

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+---
+license: afl-3.0
+language:
+- en
+metrics:
+- accuracy
+library_name: transformers
+pipeline_tag: text-classification
+---
+
+## Model description
+This model is a fine-tuned version of the [bert-base-uncased](https://huggingface.co/transformers/model_doc/bert.html) model to classify toxic comments.
+
+## How to use
+
+You can use the model with the following code.
+
+```python
+from transformers import BertForSequenceClassification, BertTokenizer, TextClassificationPipeline
+
+model_path = "JungleLee/bert-toxic-comment-classification"
+tokenizer = BertTokenizer.from_pretrained(model_path)
+model = BertForSequenceClassification.from_pretrained(model_path, num_labels=2)
+
+pipeline = TextClassificationPipeline(model=model, tokenizer=tokenizer)
+print(pipeline("You're a fucking nerd."))
+```
+
+## Training data
+The training data comes from this [Kaggle competition](https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification/data). We use 90% of the `train.csv` data to train the model.
+
+## Evaluation results
+
+The model achieves 0.95 AUC in a 1500 rows held-out test set.

config.json

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+{
+  "_name_or_path": "JungleLee/bert-toxic-comment-classification",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522,
+  "id2label": {
+    "0": "non-toxic",
+    "1": "toxic"
+  },
+  "label2id": {
+    "non-toxic": 0,
+    "toxic": 1
+  }
+}

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:924aff2eb02a6562097e6b09c543b010175abef67534e342baf501428977cc73
+size 438019245

tokenizer_config.json

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+{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "model_max_length": 256, "do_lower_case": true}