Download model_info.json from Angshul/SpliNet-Embedder: direct link, hf CLI and curl.
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- Download file 1.34 kB
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https://huggingface.co/Angshul/SpliNet-Embedder/resolve/main/model_info.json
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hf download hf://Angshul/SpliNet-Embedder/model_info.json
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curl -L -o model_info.json https://huggingface.co/Angshul/SpliNet-Embedder/resolve/main/model_info.json
1.34 kB
| { | |
| "name": "SpliNet Embedder", | |
| "base_model": "Angshul/SpliNet", | |
| "encoder_parameters": 82270464, | |
| "embedding_dimension": 768, | |
| "maximum_sequence_length": 512, | |
| "pooling": "masked mean", | |
| "output_normalization": "L2", | |
| "fine_tuning": { | |
| "dataset": "QQP positive duplicate pairs", | |
| "pairs": 134378, | |
| "epochs": 1, | |
| "steps": 8958 | |
| }, | |
| "files": { | |
| "deployment_model": "splinet_embedder.ts", | |
| "original_checkpoint": "splinet_embedder_full_qqp.pt", | |
| "tokenizer": "spiece.model" | |
| }, | |
| "evaluation": { | |
| "model": "SpliNet Sentence Embedder", | |
| "base_model": "Angshul/SpliNet", | |
| "embedding_dimension": 768, | |
| "sequence_length": 512, | |
| "inference_batch": 527, | |
| "measured_peak_reserved_gb": 14.041015625, | |
| "STSBenchmark": { | |
| "pairs": 1379, | |
| "pearson": 0.525678022791122, | |
| "spearman": 0.5173543800911169 | |
| }, | |
| "SciFact": { | |
| "nDCG@10": 0.19278095226166866, | |
| "MAP@10": 0.16858928571428572, | |
| "MRR@10": 0.17657539682539683, | |
| "Recall@10": 0.2613888888888889, | |
| "Recall@100": 0.44133333333333336, | |
| "corpus_documents": 5183, | |
| "queries": 300 | |
| }, | |
| "TwentyNewsgroups": { | |
| "total_texts": 59545, | |
| "mean_homogeneity": 0.15101690743103127, | |
| "mean_completeness": 0.15554516291013415, | |
| "mean_v_measure": 0.15324401136971566 | |
| } | |
| } | |
| } |