finetuned model files

Readme.md

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+# DistilBERT Fine-Tuned for Sequence Classification
+
+## Model Overview
+This is a fine-tuned version of the DistilBERT model designed for sequence classification tasks. It is inspired by the r/AmItheAsshole subreddit, where it has been trained on textual data to assess and classify user-submitted stories.
+
+- **Base Model**: [DistilBERT](https://huggingface.co/distilbert-base-uncased)
+- **Fine-Tuned For**: Sequence classification (e.g., sentiment analysis, AITA-type categorization)
+- **Dataset**: https://huggingface.co/datasets/MattBoraske/Reddit-AITA-2018-to-2022
+- **Task**: Sequence classification with predefined labels.
+
+## Model Details
+- **Architecture**: Transformer-based model (DistilBERT)
+- **Input Format**: Text sequences
+- **Output Format**: Classification labels with confidence scores
+- **Labels**:
+  - `LABEL_0`: The Asshole
+  - `LABEL_1`: Not the Asshole
+
+## Intended Use
+This model is intended to provide insights and assessments for user-submitted textual scenarios. It works well for binary classification tasks.
+
+### Example Usage
+
+```python
+from transformers import pipeline
+
+classifier = pipeline(
+    "text-classification", 
+    model="your-username/your-model-name"
+)
+
+text = "I did not invite my friend for my wedding. AITA ?"
+result = classifier(text)
+print(result)

config.json

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+{
+  "_name_or_path": "distilbert-base-uncased",
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForSequenceClassification"
+  ],
+  "attention_dropout": 0.1,
+  "dim": 768,
+  "dropout": 0.1,
+  "hidden_dim": 3072,
+  "initializer_range": 0.02,
+  "max_position_embeddings": 512,
+  "model_type": "distilbert",
+  "n_heads": 12,
+  "n_layers": 6,
+  "pad_token_id": 0,
+  "problem_type": "single_label_classification",
+  "qa_dropout": 0.1,
+  "seq_classif_dropout": 0.2,
+  "sinusoidal_pos_embds": false,
+  "tie_weights_": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.45.2",
+  "vocab_size": 30522
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:c9f7a0f7c4e0b2cc8ad4a3c428776bee1a0f56bade8fd9b65a27db827c0b254b
+size 267832560

special_tokens_map.json

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

tokenizer_config.json

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+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100": {
+      "content": "[UNK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "101": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "102": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "103": {
+      "content": "[MASK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "clean_up_tokenization_spaces": false,
+  "cls_token": "[CLS]",
+  "do_lower_case": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "DistilBertTokenizer",
+  "unk_token": "[UNK]"
+}