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Browse files- README.md +187 -180
- model.safetensors +1 -1
README.md
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@@ -10,34 +10,34 @@ tags:
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- sentence-similarity
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- feature-extraction
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- generated_from_trainer
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- dataset_size:
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- loss:CoSENTLoss
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widget:
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sentences:
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sentences:
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sentences:
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sentences:
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---
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# all-MiniLM-L6-v17-pair_score
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@@ -90,9 +90,9 @@ from sentence_transformers import SentenceTransformer
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model = SentenceTransformer("sentence_transformers_model_id")
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# Run inference
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sentences = [
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'
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'
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'
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]
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embeddings = model.encode(sentences)
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print(embeddings.shape)
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@@ -276,162 +276,169 @@ You can finetune this model on your own dataset.
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| Epoch | Step | Training Loss |
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</details>
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- sentence-similarity
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- feature-extraction
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- generated_from_trainer
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+
- dataset_size:1048433
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- loss:CoSENTLoss
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widget:
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- source_sentence: specialty supplement
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sentences:
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- serving spoon
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- water filter
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- furniture accessory
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- source_sentence: pediatrics medicine
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sentences:
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- flour
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- playstation accessory
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- pantry
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- source_sentence: hook
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sentences:
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- serving dish
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- serving fork
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- floor game
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- source_sentence: pasta
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sentences:
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- neckwear and scarf
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- frying basket
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- chocolate
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- source_sentence: electronic instrument
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sentences:
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- Salad
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- sirlion
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- gardening accessory
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---
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# all-MiniLM-L6-v17-pair_score
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model = SentenceTransformer("sentence_transformers_model_id")
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# Run inference
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sentences = [
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+
'electronic instrument',
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'sirlion',
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'Salad',
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]
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embeddings = model.encode(sentences)
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print(embeddings.shape)
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| Epoch | Step | Training Loss |
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| 278 |
|:------:|:-----:|:-------------:|
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| 0.0122 | 100 | 10.562 |
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| 0.0244 | 200 | 10.0184 |
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| 0.0366 | 300 | 9.398 |
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| 0.0488 | 400 | 8.8197 |
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| 0.0610 | 500 | 8.3899 |
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| 0.0733 | 600 | 7.8989 |
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| 0.0855 | 700 | 7.6515 |
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| 0.0977 | 800 | 7.3998 |
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| 0.1099 | 900 | 7.166 |
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| 0.1221 | 1000 | 6.9383 |
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| 0.1343 | 1100 | 6.6043 |
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| 0.1465 | 1200 | 6.3584 |
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| 0.1587 | 1300 | 6.0252 |
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| 0.1709 | 1400 | 5.7639 |
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| 0.1831 | 1500 | 5.6496 |
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| 0.1953 | 1600 | 5.2169 |
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| 0.2075 | 1700 | 5.1389 |
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| 0.2198 | 1800 | 4.9316 |
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| 0.2320 | 1900 | 4.8547 |
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| 0.2442 | 2000 | 4.6022 |
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| 0.2564 | 2100 | 4.7122 |
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| 0.2686 | 2200 | 4.5965 |
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| 0.2808 | 2300 | 3.9285 |
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| 0.2930 | 2400 | 4.0168 |
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| 0.3052 | 2500 | 4.2677 |
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| 0.3174 | 2600 | 4.147 |
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| 0.3296 | 2700 | 4.101 |
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| 0.3418 | 2800 | 3.8629 |
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| 0.3540 | 2900 | 3.86 |
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| 0.3663 | 3000 | 3.5607 |
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| 0.3785 | 3100 | 3.8495 |
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| 0.3907 | 3200 | 3.5558 |
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| 0.4029 | 3300 | 3.7251 |
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| 0.4151 | 3400 | 3.5233 |
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| 0.4273 | 3500 | 3.8677 |
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| 0.4395 | 3600 | 3.3688 |
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| 0.4517 | 3700 | 3.479 |
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| 0.4639 | 3800 | 3.1691 |
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| 0.4761 | 3900 | 3.1791 |
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| 0.4883 | 4000 | 3.2925 |
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| 0.5005 | 4100 | 2.6573 |
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| 0.5128 | 4200 | 2.8804 |
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| 0.5250 | 4300 | 3.0418 |
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| 0.5372 | 4400 | 2.7162 |
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| 0.5494 | 4500 | 2.8449 |
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| 0.5616 | 4600 | 2.7159 |
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| 0.5738 | 4700 | 2.5733 |
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| 0.5860 | 4800 | 2.5866 |
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| 0.5982 | 4900 | 2.9195 |
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| 0.6104 | 5000 | 2.0384 |
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| 0.6226 | 5100 | 2.6745 |
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| 0.6348 | 5200 | 2.3901 |
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| 0.6471 | 5300 | 2.2872 |
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| 0.6593 | 5400 | 2.0086 |
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| 0.6715 | 5500 | 2.198 |
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| 0.6837 | 5600 | 1.9139 |
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| 0.6959 | 5700 | 2.0432 |
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| 0.7081 | 5800 | 2.1445 |
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| 0.7203 | 5900 | 2.5626 |
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| 0.7325 | 6000 | 2.1707 |
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| 0.7447 | 6100 | 2.1568 |
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| 0.7569 | 6200 | 2.0102 |
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| 0.7691 | 6300 | 2.0012 |
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| 0.7813 | 6400 | 1.8381 |
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| 0.7936 | 6500 | 1.7552 |
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| 0.8058 | 6600 | 1.9704 |
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| 0.8180 | 6700 | 1.6397 |
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| 0.8302 | 6800 | 1.8857 |
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| 0.8424 | 6900 | 1.8036 |
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| 0.8546 | 7000 | 1.721 |
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| 0.8668 | 7100 | 1.6888 |
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| 0.8790 | 7200 | 1.7908 |
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| 0.8912 | 7300 | 1.5851 |
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| 0.9034 | 7400 | 1.7986 |
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| 0.9156 | 7500 | 1.2549 |
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| 0.9278 | 7600 | 1.5765 |
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| 0.9401 | 7700 | 1.4524 |
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| 0.9523 | 7800 | 1.2767 |
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| 0.9645 | 7900 | 1.1604 |
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| 0.9767 | 8000 | 1.557 |
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| 0.9889 | 8100 | 1.1124 |
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| 1.0011 | 8200 | 1.3092 |
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| 1.0133 | 8300 | 1.598 |
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| 1.0255 | 8400 | 1.6242 |
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| 1.0377 | 8500 | 1.4893 |
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| 1.0499 | 8600 | 1.0693 |
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| 1.0621 | 8700 | 0.9369 |
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| 1.0743 | 8800 | 1.1275 |
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| 1.0866 | 8900 | 1.3307 |
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| 1.0988 | 9000 | 1.0498 |
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| 1.1110 | 9100 | 1.2496 |
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| 1.1232 | 9200 | 1.1011 |
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| 1.1354 | 9300 | 1.0483 |
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| 1.1476 | 9400 | 1.2593 |
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| 1.1598 | 9500 | 0.9409 |
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| 1.1720 | 9600 | 1.0609 |
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| 1.1842 | 9700 | 1.1829 |
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| 1.1964 | 9800 | 1.0511 |
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| 1.2086 | 9900 | 0.919 |
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| 1.2209 | 10000 | 0.9473 |
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| 1.2331 | 10100 | 1.2604 |
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| 1.2453 | 10200 | 1.17 |
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| 1.2575 | 10300 | 1.181 |
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| 1.2697 | 10400 | 0.9092 |
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| 1.2819 | 10500 | 0.9655 |
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| 1.2941 | 10600 | 1.058 |
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| 1.3063 | 10700 | 1.283 |
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| 1.3185 | 10800 | 1.1552 |
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| 1.3307 | 10900 | 0.858 |
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| 1.3429 | 11000 | 0.8581 |
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| 1.3551 | 11100 | 1.1272 |
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| 1.3674 | 11200 | 1.0127 |
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| 1.3796 | 11300 | 0.7372 |
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| 1.3918 | 11400 | 0.913 |
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| 1.4040 | 11500 | 0.8728 |
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| 1.4162 | 11600 | 1.1358 |
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| 1.4284 | 11700 | 0.9387 |
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| 1.4406 | 11800 | 0.8424 |
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| 1.4528 | 11900 | 0.8999 |
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| 1.4650 | 12000 | 1.2505 |
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| 1.4772 | 12100 | 1.0151 |
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| 1.4894 | 12200 | 0.8013 |
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| 1.5016 | 12300 | 1.1422 |
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| 1.5139 | 12400 | 1.1518 |
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| 1.5261 | 12500 | 1.0553 |
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| 1.5383 | 12600 | 0.9228 |
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| 1.5505 | 12700 | 1.2036 |
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| 1.5627 | 12800 | 1.1064 |
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| 1.5749 | 12900 | 0.7599 |
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| 1.5871 | 13000 | 0.6376 |
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| 1.5993 | 13100 | 1.002 |
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| 1.6115 | 13200 | 0.9072 |
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| 1.6237 | 13300 | 0.9645 |
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| 1.6359 | 13400 | 0.9208 |
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| 1.6482 | 13500 | 1.1439 |
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| 1.6604 | 13600 | 1.3721 |
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| 1.6726 | 13700 | 0.8702 |
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| 1.6848 | 13800 | 0.9476 |
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| 1.6970 | 13900 | 1.1247 |
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| 1.7092 | 14000 | 1.1059 |
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| 1.7214 | 14100 | 0.9272 |
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| 1.7336 | 14200 | 0.8893 |
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| 1.7458 | 14300 | 0.6242 |
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| 1.7580 | 14400 | 0.6779 |
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| 1.7702 | 14500 | 0.7436 |
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| 1.7824 | 14600 | 0.7655 |
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| 1.7947 | 14700 | 0.7952 |
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| 1.8069 | 14800 | 1.1916 |
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| 1.8191 | 14900 | 0.7219 |
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| 428 |
+
| 1.8313 | 15000 | 0.7313 |
|
| 429 |
+
| 1.8435 | 15100 | 0.8224 |
|
| 430 |
+
| 1.8557 | 15200 | 0.8756 |
|
| 431 |
+
| 1.8679 | 15300 | 0.622 |
|
| 432 |
+
| 1.8801 | 15400 | 1.0309 |
|
| 433 |
+
| 1.8923 | 15500 | 0.7322 |
|
| 434 |
+
| 1.9045 | 15600 | 0.9327 |
|
| 435 |
+
| 1.9167 | 15700 | 0.8632 |
|
| 436 |
+
| 1.9289 | 15800 | 1.0087 |
|
| 437 |
+
| 1.9412 | 15900 | 0.6738 |
|
| 438 |
+
| 1.9534 | 16000 | 0.8936 |
|
| 439 |
+
| 1.9656 | 16100 | 0.8083 |
|
| 440 |
+
| 1.9778 | 16200 | 0.7114 |
|
| 441 |
+
| 1.9900 | 16300 | 0.9119 |
|
| 442 |
|
| 443 |
</details>
|
| 444 |
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 90864192
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8cc57067408aca39603291da523b6810be392d1c1503a2ae1b0008cc4fc3e544
|
| 3 |
size 90864192
|