Nomic Embed: Training a Reproducible Long Context Text Embedder
Paper • 2402.01613 • Published • 18
ModernBERT-Embed-Unsupervised
modernbert-embed-unsupervised is the unsupervised checkpoint trained with the contrastors library
for 1 epoch over the 235M weakly-supervised contrastive pairs curated in Nomic Embed.
We suggest using moderbert-embed for embedding tasks.
Performance
The modernbert-unsupervised model performs similarly to the nomic-embed-text-v1_unsup model
| Model | Average (56) | Classification (12) | Clustering (11) | Pair Classification (3) | Reranking (4) | Retrieval (15) | STS (10) | Overall |
|---|---|---|---|---|---|---|---|---|
| nomic-embed-text-v1_unsup | 59.9 | 71.2 | 42.5 | 83.7 | 55.0 | 48.0 | 80.8 | 30.7 |
| modernbert-embed-unsupervised | 60.03 | 72.11 | 44.34 | 82.78 | 55.0 | 47.05 | 80.33 | 31.2 |
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Model tree for nomic-ai/modernbert-embed-base-unsupervised
Base model
answerdotai/ModernBERT-basePaper for nomic-ai/modernbert-embed-base-unsupervised
Evaluation results
- accuracy on MTEB AmazonCounterfactualClassification (en)test set self-reported76.209
- ap on MTEB AmazonCounterfactualClassification (en)test set self-reported39.251
- f1 on MTEB AmazonCounterfactualClassification (en)test set self-reported70.152
- accuracy on MTEB AmazonPolarityClassificationtest set self-reported91.661
- ap on MTEB AmazonPolarityClassificationtest set self-reported88.673
- f1 on MTEB AmazonPolarityClassificationtest set self-reported91.653
- accuracy on MTEB AmazonReviewsClassification (en)test set self-reported46.768
- f1 on MTEB AmazonReviewsClassification (en)test set self-reported46.153