| { | |
| "annotation_transformer": false, | |
| "architectures": [ | |
| "CAMP" | |
| ], | |
| "diff": false, | |
| "dropout": 0.05, | |
| "hidden_dim": 640, | |
| "input_dim": 384, | |
| "intermediate_dim": 2560, | |
| "kernel_size": 11, | |
| "latent": false, | |
| "mlm": false, | |
| "mnr": false, | |
| "model_type": "CAMP", | |
| "nhead": 8, | |
| "nlp_path": "allenai/scibert_scivocab_uncased", | |
| "num_hidden_layers": 1, | |
| "out_dim": 512, | |
| "plm_path": "facebook/esm2_t33_650m_UR50D", | |
| "pooling": "avg", | |
| "token": null, | |
| "torch_dtype": "bfloat16", | |
| "transformers_version": "4.41.2" | |
| } | |