Add new SentenceTransformer model.
Browse files- README.md +148 -95
- config.json +1 -1
- model.safetensors +1 -1
README.md
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- loss:CachedGISTEmbedLoss
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base_model: nomic-ai/nomic-embed-text-v1.5
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widget:
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- source_sentence: 'search_query:
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sentences:
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- 'search_query:
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sentences:
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sentences:
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sentences:
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sentences:
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pipeline_tag: sentence-similarity
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---
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@@ -86,9 +86,9 @@ 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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'search_query:
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'search_query:
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'search_query:
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]
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embeddings = model.encode(sentences)
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print(embeddings.shape)
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@@ -286,79 +286,132 @@ You can finetune this model on your own dataset.
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</details>
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### Training Logs
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### Framework Versions
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- Python: 3.10.12
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- loss:CachedGISTEmbedLoss
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base_model: nomic-ai/nomic-embed-text-v1.5
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widget:
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+
- source_sentence: 'search_query: ipad'
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sentences:
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- 'search_query: ipad newest model'
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- 'search_query: epyc amd cpu'
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- 'search_query: 35x29 mens jeans'
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- source_sentence: 'search_query: 掲示板'
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sentences:
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- 'search_query: 寝袋 冬'
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- 'search_query: lg ゲーミングモニター'
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- 'search_query: vga to dvi-d'
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- source_sentence: 'search_query: ダイアン'
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sentences:
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- 'search_query: ゴアテックス レインウェア'
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- 'search_query: roy vickery'
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- 'search_query: cbd oil not hemp'
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- source_sentence: 'search_query: psp'
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sentences:
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- 'search_query: petechtool'
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- 'search_query: heavy cream'
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- 'search_query: sweaters for women'
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- source_sentence: 'search_query: 龍師の翼'
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sentences:
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- 'search_query: 烏龍茶 2l'
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- 'search_query: 筆箱プラスチックケース'
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- 'search_query: fitbit for kids'
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pipeline_tag: sentence-similarity
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---
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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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'search_query: 龍師の翼',
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'search_query: 烏龍茶 2l',
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'search_query: 筆箱プラスチックケース',
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]
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embeddings = model.encode(sentences)
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print(embeddings.shape)
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</details>
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### Training Logs
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<details><summary>Click to expand</summary>
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| Epoch | Step | Training Loss |
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|:------:|:-----:|:-------------:|
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| 0.0009 | 100 | 3.7009 |
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| 0.0018 | 200 | 3.3796 |
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| 0.0027 | 300 | 2.8348 |
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| 0.0036 | 400 | 2.1803 |
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| 0.0045 | 500 | 1.8272 |
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| 0.0054 | 600 | 1.4715 |
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| 0.0063 | 700 | 1.0056 |
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| 0.0072 | 800 | 0.7984 |
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| 0.0081 | 900 | 0.6925 |
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| 0.0091 | 1000 | 0.6552 |
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| 0.0100 | 1100 | 0.6054 |
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| 0.0109 | 1200 | 0.5874 |
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| 0.0118 | 1300 | 0.5641 |
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| 0.0127 | 1400 | 0.528 |
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| 0.0136 | 1500 | 0.5285 |
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| 0.0145 | 1600 | 0.5032 |
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| 0.0154 | 1700 | 0.5238 |
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| 0.0163 | 1800 | 0.4565 |
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| 0.0172 | 1900 | 0.4739 |
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| 0.0181 | 2000 | 0.4614 |
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| 0.0190 | 2100 | 0.4334 |
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| 0.0199 | 2200 | 0.4217 |
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| 0.0208 | 2300 | 0.3931 |
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| 0.0217 | 2400 | 0.4102 |
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| 0.0226 | 2500 | 0.3936 |
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| 0.0235 | 2600 | 0.415 |
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| 0.0244 | 2700 | 0.4462 |
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| 0.0253 | 2800 | 0.3886 |
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| 0.0263 | 2900 | 0.3887 |
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| 0.0272 | 3000 | 0.3629 |
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| 0.0281 | 3100 | 0.37 |
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| 0.0290 | 3200 | 0.3861 |
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| 0.0299 | 3300 | 0.3813 |
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| 0.0308 | 3400 | 0.3348 |
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| 0.0317 | 3500 | 0.3566 |
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| 0.0326 | 3600 | 0.3674 |
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| 0.0335 | 3700 | 0.3421 |
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| 0.0344 | 3800 | 0.3225 |
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| 0.0353 | 3900 | 0.406 |
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| 0.0362 | 4000 | 0.3975 |
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| 0.0371 | 4100 | 0.368 |
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| 0.0380 | 4200 | 0.3481 |
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| 0.0389 | 4300 | 0.3405 |
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| 0.0398 | 4400 | 0.3529 |
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| 0.0407 | 4500 | 0.3968 |
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| 0.0416 | 4600 | 0.3634 |
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| 0.0425 | 4700 | 0.3518 |
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| 0.0434 | 4800 | 0.383 |
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| 0.0444 | 4900 | 0.3261 |
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| 0.0453 | 5000 | 0.323 |
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| 0.0462 | 5100 | 0.3372 |
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| 0.0471 | 5200 | 0.358 |
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| 0.0480 | 5300 | 0.3207 |
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| 0.0489 | 5400 | 0.341 |
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| 0.0498 | 5500 | 0.3146 |
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| 0.0507 | 5600 | 0.3065 |
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| 0.0516 | 5700 | 0.3597 |
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| 0.0525 | 5800 | 0.3352 |
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| 0.0534 | 5900 | 0.3212 |
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| 0.0543 | 6000 | 0.316 |
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| 0.0552 | 6100 | 0.3405 |
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| 0.0561 | 6200 | 0.3416 |
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| 0.0570 | 6300 | 0.3124 |
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| 0.0579 | 6400 | 0.3146 |
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| 0.0588 | 6500 | 0.3043 |
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| 0.0597 | 6600 | 0.3687 |
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| 0.0606 | 6700 | 0.3359 |
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| 0.0616 | 6800 | 0.3414 |
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| 0.0625 | 6900 | 0.3161 |
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| 0.0634 | 7000 | 0.3266 |
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| 0.0643 | 7100 | 0.3465 |
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| 0.0652 | 7200 | 0.3017 |
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| 0.0661 | 7300 | 0.33 |
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| 0.0670 | 7400 | 0.3324 |
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| 0.0679 | 7500 | 0.2829 |
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| 0.0688 | 7600 | 0.2691 |
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| 0.0697 | 7700 | 0.2939 |
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| 0.0706 | 7800 | 0.2769 |
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| 0.0715 | 7900 | 0.3092 |
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| 0.0724 | 8000 | 0.2761 |
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| 0.0733 | 8100 | 0.2858 |
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| 0.0742 | 8200 | 0.3667 |
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| 0.0751 | 8300 | 0.304 |
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| 0.0760 | 8400 | 0.2971 |
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| 0.0769 | 8500 | 0.3284 |
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| 0.0778 | 8600 | 0.2915 |
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| 0.0788 | 8700 | 0.2903 |
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| 0.0797 | 8800 | 0.3132 |
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| 0.0806 | 8900 | 0.2999 |
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| 0.0815 | 9000 | 0.3191 |
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| 0.0824 | 9100 | 0.2846 |
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| 0.0833 | 9200 | 0.2966 |
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| 0.0842 | 9300 | 0.3075 |
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| 0.0851 | 9400 | 0.2814 |
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| 0.0860 | 9500 | 0.3161 |
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| 0.0869 | 9600 | 0.3056 |
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| 0.0878 | 9700 | 0.2874 |
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| 0.0887 | 9800 | 0.3238 |
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| 0.0896 | 9900 | 0.3018 |
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| 0.0905 | 10000 | 0.2994 |
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| 0.0914 | 10100 | 0.2794 |
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| 0.0923 | 10200 | 0.2581 |
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| 0.0932 | 10300 | 0.3097 |
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| 0.0941 | 10400 | 0.2711 |
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| 0.0950 | 10500 | 0.2428 |
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| 0.0960 | 10600 | 0.3025 |
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| 0.0969 | 10700 | 0.3062 |
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| 0.0978 | 10800 | 0.3189 |
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| 0.0987 | 10900 | 0.3237 |
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| 0.0996 | 11000 | 0.2843 |
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| 0.1005 | 11100 | 0.2671 |
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| 0.1014 | 11200 | 0.2939 |
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| 0.1023 | 11300 | 0.2976 |
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| 0.1032 | 11400 | 0.2991 |
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| 0.1041 | 11500 | 0.2456 |
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| 0.1050 | 11600 | 0.2895 |
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| 0.1059 | 11700 | 0.2743 |
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| 0.1068 | 11800 | 0.2827 |
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| 0.1077 | 11900 | 0.3276 |
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| 0.1086 | 12000 | 0.2813 |
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</details>
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### Framework Versions
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- Python: 3.10.12
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config.json
CHANGED
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@@ -1,5 +1,5 @@
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{
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-
"_name_or_path": "models/nomic-embed-text-esci/checkpoint-
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"activation_function": "swiglu",
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"architectures": [
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"NomicBertModel"
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{
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"_name_or_path": "models/nomic-embed-text-esci/checkpoint-12000",
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"activation_function": "swiglu",
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"architectures": [
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"NomicBertModel"
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model.safetensors
CHANGED
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 546938168
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version https://git-lfs.github.com/spec/v1
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oid sha256:500226d858088d74a7ddb26f1a85df2580931140b8f28fe5ef48cd46d768e58d
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size 546938168
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