| { | |
| "architectures": [ | |
| "BertForSequenceClassification" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "classifier_dropout": null, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 768, | |
| "id2label": { | |
| "0": "agent_response", | |
| "1": "backchannel" | |
| }, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "label2id": { | |
| "agent_response": 0, | |
| "backchannel": 1 | |
| }, | |
| "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", | |
| "transformers_version": "4.52.4", | |
| "type_vocab_size": 2, | |
| "use_cache": true, | |
| "vocab_size": 32000, | |
| "_metadata": { | |
| "model_name": "turn-detection-v2", | |
| "version": "1.0.0", | |
| "published_at": "2025-12-31", | |
| "author": "Fine-Tune Assistant", | |
| "license": "Apache-2.0", | |
| "huggingface_repo": "hayatiali/turn-detection-v2", | |
| "huggingface_url": "https://huggingface.co/hayatiali/turn-detection-v2" | |
| }, | |
| "_context_aware": { | |
| "enabled": true, | |
| "input_format": "[bot] {bot_message} [sep] [user] {user_message}", | |
| "special_tokens": [ | |
| "[bot]", | |
| "[sep]", | |
| "[user]" | |
| ], | |
| "example_input": "[bot] sunucuya katilmak icin ne yapmaliyim [sep] [user] ya davet kodu alabilir miyim", | |
| "fallback_behavior": "If no [bot] context provided, model uses user text only" | |
| }, | |
| "_task": { | |
| "type": "text-classification", | |
| "name": "Turn Detection V2", | |
| "description": "Classifies text into 2 categories: agent_response, backchannel", | |
| "num_labels": 2 | |
| }, | |
| "_labels": { | |
| "num_labels": 2, | |
| "id2label": { | |
| "0": "agent_response", | |
| "1": "backchannel" | |
| }, | |
| "label2id": { | |
| "agent_response": 0, | |
| "backchannel": 1 | |
| }, | |
| "label_descriptions": { | |
| "agent_response": "Category: agent_response", | |
| "backchannel": "Category: backchannel" | |
| } | |
| }, | |
| "_domain": { | |
| "language": "Turkish (tr)", | |
| "domain": "General", | |
| "base_model": "dbmdz/bert-base-turkish-uncased" | |
| }, | |
| "_training": { | |
| "dataset": { | |
| "name": "callcenter-turn-detection-classification", | |
| "total_samples": 65310, | |
| "train_samples": 52287, | |
| "test_samples": 13023, | |
| "label_distribution": { | |
| "agent_response": "35223 (67.4%)", | |
| "backchannel": "17064 (32.6%)" | |
| } | |
| }, | |
| "hyperparameters": { | |
| "max_sequence_length": 128, | |
| "batch_size": 16, | |
| "learning_rate": 3e-05, | |
| "epochs": 4, | |
| "optimizer": "AdamW", | |
| "weight_decay": 0.01, | |
| "loss_function": "CrossEntropyLoss" | |
| }, | |
| "hardware": "mps" | |
| }, | |
| "_evaluation": { | |
| "metrics": { | |
| "macro_f1": 0.9769, | |
| "micro_f1": 0.9794, | |
| "mcc": 0.9544, | |
| "accuracy": 97.94 | |
| }, | |
| "per_class": { | |
| "agent_response": { | |
| "accuracy": 99.57, | |
| "samples": 8553 | |
| }, | |
| "backchannel": { | |
| "accuracy": 94.83, | |
| "samples": 4470 | |
| } | |
| } | |
| } | |
| } |