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Update README.md
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README.md
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@@ -53,6 +53,26 @@ We are forking sentence-transformers/all-MiniLM-L6-v2 as it is similar to the ta
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- Used the AdamW optimizer with a 2e-5 learning rate.
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- The full training script is accessible in this current repository: `train_script.py`.
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#### Datasets
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| Dataset | Paper | Number of training tuples |
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|--------------------------------------------------------|:----------------------------------------:|:--------------------------:|
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- Used the AdamW optimizer with a 2e-5 learning rate.
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- The full training script is accessible in this current repository: `train_script.py`.
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#### Performance
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| Model Name | Performance Sentence Embeddings (14 Datasets) | Performance Semantic Search (6 Datasets) | Avg. Performance | Speed | Model Size |
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|----------------------------------------------|-----------------------------------------------|----------------------------------------|-----------------|-------|------------|
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| all-mpnet-base-v2 | 69.57 | 57.02 | 63.30 | 2800 | 420 MB |
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| multi-qa-mpnet-base-dot-v1 | 66.76 | 57.60 | 62.18 | 2800 | 420 MB |
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| all-distilroberta-v1 | 68.73 | 50.94 | 59.84 | 4000 | 290 MB |
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| all-MiniLM-L12-v2 | 68.70 | 50.82 | 59.76 | 7500 | 120 MB |
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| multi-qa-distilbert-cos-v1 | 65.98 | 52.83 | 59.41 | 4000 | 250 MB |
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| **all-MiniLM-L6-v2** | **68.06** | **49.54** | **58.80** | **14200** | **80 MB** |
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| multi-qa-MiniLM-L6-cos-v1 | 64.33 | 51.83 | 58.08 | 14200 | 80 MB |
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| paraphrase-multilingual-mpnet-base-v2 | 65.83 | 41.68 | 53.75 | 2500 | 970 MB |
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| paraphrase-albert-small-v2 | 64.46 | 40.04 | 52.25 | 5000 | 43 MB |
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| paraphrase-multilingual-MiniLM-L12-v2 | 64.25 | 39.19 | 51.72 | 7500 | 420 MB |
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| paraphrase-MiniLM-L3-v2 | 62.29 | 39.19 | 50.74 | 19000 | 61 MB |
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| distiluse-base-multilingual-cased-v1 | 61.30 | 29.87 | 45.59 | 4000 | 480 MB |
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| distiluse-base-multilingual-cased-v2 | 60.18 | 27.35 | 43.77 | 4000 | 480 MB |
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#### Datasets
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| Dataset | Paper | Number of training tuples |
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|--------------------------------------------------------|:----------------------------------------:|:--------------------------:|
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