| { | |
| "_encoder_name": "sentence-transformers/all-MiniLM-L6-v2", | |
| "adam_beta1": 0.9, | |
| "adam_beta2": 0.999, | |
| "adam_epsilon": 1e-08, | |
| "chunk_size": 128, | |
| "cls_token_id": 1, | |
| "encoder_config": { | |
| "_name_or_path": "sentence-transformers/all-MiniLM-L6-v2", | |
| "architectures": [ | |
| "BertModel" | |
| ], | |
| "gradient_checkpointing": false, | |
| "hidden_size": 384, | |
| "intermediate_size": 1536, | |
| "model_type": "bert", | |
| "num_hidden_layers": 6 | |
| }, | |
| "loss_func": "smoothl1", | |
| "mask_token_id": 3, | |
| "pad_token_id": 0, | |
| "sep_token_id": 2, | |
| "transformers_version": "4.33.3" | |
| } | |