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Upload best checkpoint (Spearman=0.8086)

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README.md ADDED
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+ ---
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+ language: en
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+ tags:
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+ - clinical-nlp
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+ - text-similarity
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+ - regression
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+ - bert
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+ base_model: cross-encoder/quora-roberta-large
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+ ---
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+
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+ # Clinical STS Regression Model
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+
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+ Fine-tuned from `cross-encoder/quora-roberta-large` on a clinical text-pair similarity dataset.
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+
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+ ## Training config
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+ ```json
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+ {
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+ "train": "./med_sts/clinicalSTS.train.txt",
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+ "test": "./med_sts/clinicalSTS.test.txt",
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+ "model": [
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+ "cross-encoder/quora-roberta-large"
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+ ],
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+ "epochs": 20,
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+ "batch_size": 16,
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+ "lr": 2e-05,
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+ "weight_decay": 0.01,
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+ "warmup_ratio": 0.1,
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+ "max_grad_norm": 1.0,
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+ "dropout": 0.1,
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+ "max_len": 256,
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+ "seed": 42,
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+ "patience": 5,
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+ "output_dir": "./sts_val/quora-roberta-large",
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+ "wandb_project": "clinical-sts",
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+ "hf_repo": "youssefkhalil320/quora-roberta-large"
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+ }
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+ ```
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+
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+ ## Best test Spearman ρ: `0.8086`
config.json ADDED
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+ "architectures": [
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+ "RobertaModel"
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+ "layer_norm_eps": 1e-05,
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+ "max_position_embeddings": 514,
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+ "model_type": "roberta",
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+ "num_attention_heads": 16,
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+ "num_hidden_layers": 24,
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+ "pad_token_id": 1,
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+ "position_embedding_type": "absolute",
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+ "transformers_version": "4.57.6",
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+ "type_vocab_size": 1,
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+ "use_cache": true,
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+ "vocab_size": 50265
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+ }
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