| { | |
| "model_type": "sentence_transformer", | |
| "architecture": "BertModel", | |
| "vocab_size": 32000, | |
| "hidden_size": 768, | |
| "num_hidden_layers": 12, | |
| "num_attention_heads": 12, | |
| "intermediate_size": 3072, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "attention_probs_dropout_prob": 0.1, | |
| "max_position_embeddings": 512, | |
| "type_vocab_size": 2, | |
| "initializer_range": 0.02, | |
| "layer_norm_eps": 1e-12, | |
| "pooling_mode": "mean", | |
| "languages": ["bn", "en"], | |
| "training": { | |
| "num_epochs": 5, | |
| "batch_size": 32, | |
| "learning_rate": 2e-5, | |
| "warmup_steps": 1000, | |
| "loss_function": "cosine_similarity" | |
| } | |
| } | |