Upload trained classifier model

README.md

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+# Finance Classifier Model
+
+This directory contains the fine-tuned mBERT model for binary financial conversation classification.
+
+## Model Files
+
+The model directory should contain:
+- `config.json` - Model configuration
+- `tokenizer_config.json` - Tokenizer configuration  
+- `special_tokens_map.json` - Special tokens mapping
+- `pytorch_model.bin` - Trained model weights (generated by training)
+
+## Training
+
+To generate the trained model, run:
+
+```bash
+cd nlp/
+python train_classifier.py
+```
+
+This will:
+1. Load training data from `../classifier_training.json`
+2. Fine-tune bert-base-multilingual-cased on financial vs non-financial classification
+3. Save the trained model to this directory
+
+## Model Details
+
+- **Base Model**: bert-base-multilingual-cased
+- **Task**: Binary Classification (financial: 1, non-financial: 0)
+- **Input**: Text sentences
+- **Languages**: Multilingual support
+- **Training File**: `classifier_training.json`
+
+## Usage
+
+```python
+from nlp.classifier import FinanceClassifier
+
+clf = FinanceClassifier()
+result = clf.predict("Loan lena chahiye")
+print(result)  # {'prediction': 'financial', 'confidence': 0.95}
+```

config.json

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+{
+  "add_cross_attention": false,
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": null,
+  "classifier_dropout": null,
+  "directionality": "bidi",
+  "dtype": "float32",
+  "eos_token_id": null,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "is_decoder": false,
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "pooler_fc_size": 768,
+  "pooler_num_attention_heads": 12,
+  "pooler_num_fc_layers": 3,
+  "pooler_size_per_head": 128,
+  "pooler_type": "first_token_transform",
+  "problem_type": "single_label_classification",
+  "tie_word_embeddings": true,
+  "transformers_version": "5.4.0",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 119547
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:b328ed5a5e4708054b12a9e20397f37358f943f6d5956a251029d24848e7134b
+size 711443432

special_tokens_map.json

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

tokenizer_config.json

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+{
+  "backend": "tokenizers",
+  "cls_token": "[CLS]",
+  "do_lower_case": false,
+  "is_local": false,
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}