| { |
| "model_type": "imrnns", |
| "architectures": ["IMRNN"], |
| "library_name": "imrnns", |
| "license": "cc-by-4.0", |
| "paper": "https://aclanthology.org/2026.findings-eacl.333/", |
| "doi": "10.18653/v1/2026.findings-eacl.333", |
| "github_repo": "https://github.com/YashSaxena21/IMRNNs", |
| "checkpoint_format": "imrnns-final-v1", |
| "available_checkpoints": [ |
| "checkpoints/validated/minilm/imrnns-minilm-scifact.pt" |
| ], |
| "training_recipe": { |
| "objective": "improvement-margin", |
| "improvement_margin": 0.05, |
| "hard_negative_method": "dense", |
| "hard_negatives": 63, |
| "hard_negative_pool": 100, |
| "projector_initialization": "identity", |
| "hidden_dim": 128, |
| "dropout": 0.0, |
| "optimizer": "adam", |
| "learning_rate": 0.0001, |
| "weight_decay": 0.00001, |
| "batch_size": 32, |
| "epochs": 30, |
| "patience": 7, |
| "seed": 42 |
| }, |
| "metrics": ["MRR@10", "Recall@10", "NDCG@10"], |
| "encoder": { |
| "alias": "minilm", |
| "base_model": "sentence-transformers/all-MiniLM-L6-v2", |
| "embedding_dim": 384, |
| "revision": "c9745ed1d9f207416be6d2e6f8de32d1f16199bf" |
| } |
| } |
|
|