thenlper commited on
Commit
bd2a035
1 Parent(s): 52836b6

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +7 -3
README.md CHANGED
@@ -2612,9 +2612,13 @@ The GTE series models are trained by Alibaba DAMO Academy. They are mainly based
2612
  We compared the performance of the GTE models with other popular text embedding models on the MTEB benchmark. For more detailed comparison results, please refer to the [MTEB leaderboard](https://huggingface.co/spaces/mteb/leaderboard).
2613
 
2614
 
2615
- | Model Name | Model Size (GB) | Dimension | Sequence Length | Average (56) | Clustering (11) | Pair Classification (3) | Reranking (4) | Retrieval (15) | STS (10) | Summarization (1) | Classification (12) |
2616
- |--- |--- |--- |--- |--- |--- |--- |--- |--- |--- |--- |--- |
2617
- | [gte-large](https://huggingface.co/thenlper/gte-large) | 0.67 | 1024 | 512 | 63.13 | 46.84 | 85 | 59.13 | 52.22 | 83.35 | 31.66 | 73.33 |
 
 
 
 
2618
  | [gte-base](https://huggingface.co/thenlper/gte-base) | 0.22 | 768 | 512 | 62.39 | 46.2 | 84.57 | 58.61 | 51.14 | 82.3 | 31.17 | 73.01 |
2619
  | [e5-large-v2](https://huggingface.co/intfloat/e5-large-v2) | 1.34 | 1024 | 512 | 62.25 | 44.49 | 86.03 | 56.61 | 50.56 | 82.05 | 30.19 | 75.24 |
2620
  | [e5-base-v2](https://huggingface.co/intfloat/e5-base-v2) | 0.44 | 768 | 512 | 61.5 | 43.8 | 85.73 | 55.91 | 50.29 | 81.05 | 30.28 | 73.84 |
 
2612
  We compared the performance of the GTE models with other popular text embedding models on the MTEB benchmark. For more detailed comparison results, please refer to the [MTEB leaderboard](https://huggingface.co/spaces/mteb/leaderboard).
2613
 
2614
 
2615
+
2616
+ | Model Name | Model Size (GB) | Dimension | Sequence Length | Average (56) | Clustering (11) | Pair Classification (3) | Reranking (4) | Retrieval (15) | STS (10) | Summarization (1) | Classification (12) |
2617
+ |:----:|:---:|:---:|:---:|:---:|:---:|:---:|:---:|:---:|:---:|:---:|:---:|
2618
+ | [gte-large](https://huggingface.co/thenlper/gte-large) | 0.67 | 1024 | 512 | 63.13 | 46.84 | 85.00 | 59.13 | 52.22 | 83.35 | 31.66 | 73.33 |
2619
+
2620
+
2621
+
2622
  | [gte-base](https://huggingface.co/thenlper/gte-base) | 0.22 | 768 | 512 | 62.39 | 46.2 | 84.57 | 58.61 | 51.14 | 82.3 | 31.17 | 73.01 |
2623
  | [e5-large-v2](https://huggingface.co/intfloat/e5-large-v2) | 1.34 | 1024 | 512 | 62.25 | 44.49 | 86.03 | 56.61 | 50.56 | 82.05 | 30.19 | 75.24 |
2624
  | [e5-base-v2](https://huggingface.co/intfloat/e5-base-v2) | 0.44 | 768 | 512 | 61.5 | 43.8 | 85.73 | 55.91 | 50.29 | 81.05 | 30.28 | 73.84 |