Murhaf commited on
Commit
64a8c17
·
verified ·
1 Parent(s): 7b3523a
Files changed (1) hide show
  1. README.md +7 -5
README.md CHANGED
@@ -2,6 +2,7 @@
2
  language:
3
  - 'no'
4
  - nn
 
5
  tags:
6
  - sentence-transformers
7
  - sentence-similarity
@@ -110,7 +111,8 @@ print(similarities)
110
  To verify the utility of our models, we evaluated them on a selection of classification and clustering tasks for Norwegian from [MTEBv2](https://embeddings-benchmark.github.io/mteb/).
111
 
112
  The heatmap below shows the results of evaluating five sentence-transformers on ten different tasks;
113
- three of the sentence-transformer models we have fine-tuned ([Fremtind/norsbert4-large](https://huggingface.co/Fremtind/norsbert4-large), [Fremtind/norsbert4-base](https://huggingface.co/Fremtind/norsbert4-base), [Fremtind/mmBERT-base-norwegian](https://huggingface.co/Fremtind/mmBERT-base-norwegian))
 
114
  and the other two are relatively popular (and comparable) sentence similarity models ([FFI/SimCSE-NB-BERT-large](https://huggingface.co/FFI/SimCSE-NB-BERT-large) and [NbAiLab/nb-sbert-base](https://huggingface.co/NbAiLab/nb-sbert-base)).
115
 
116
 
@@ -121,10 +123,10 @@ We ranked the models using **Borda count** (which is used in MTEB), where each m
121
  | Rank | Model | Borda Points |
122
  |:----:|:--------------------------------|:-------------:|
123
  | 1 | **Fremtind/norsbert4-large** | **44** |
124
- | 2 | FFI/SimCSE-NB-BERT-large | 40 |
125
- | 3 | Fremtind/norsbert4-base | 24 |
126
- | 4 | NbAiLab/nb-sbert-base | 15 |
127
- | 5 | Fremtind/mmBERT-base-norwegian | 7 |
128
 
129
 
130
  ## Training Details
 
2
  language:
3
  - 'no'
4
  - nn
5
+ - nb
6
  tags:
7
  - sentence-transformers
8
  - sentence-similarity
 
111
  To verify the utility of our models, we evaluated them on a selection of classification and clustering tasks for Norwegian from [MTEBv2](https://embeddings-benchmark.github.io/mteb/).
112
 
113
  The heatmap below shows the results of evaluating five sentence-transformers on ten different tasks;
114
+ three of the sentence-transformer models we have fine-tuned
115
+ ([Fremtind/norsbert4-large](https://huggingface.co/Fremtind/norsbert4-large), [Fremtind/norsbert4-base](https://huggingface.co/Fremtind/norsbert4-base), [Fremtind/mmBERT-base-norwegian](https://huggingface.co/Fremtind/mmBERT-base-norwegian))
116
  and the other two are relatively popular (and comparable) sentence similarity models ([FFI/SimCSE-NB-BERT-large](https://huggingface.co/FFI/SimCSE-NB-BERT-large) and [NbAiLab/nb-sbert-base](https://huggingface.co/NbAiLab/nb-sbert-base)).
117
 
118
 
 
123
  | Rank | Model | Borda Points |
124
  |:----:|:--------------------------------|:-------------:|
125
  | 1 | **Fremtind/norsbert4-large** | **44** |
126
+ | 2 | [FFI/SimCSE-NB-BERT-large](https://huggingface.co/FFI/SimCSE-NB-BERT-large) | 40 |
127
+ | 3 | [Fremtind/norsbert4-base](https://huggingface.co/Murhaf/norsbert4-base) | 24 |
128
+ | 4 | [NbAiLab/nb-sbert-base](https://huggingface.co/NbAiLab/nb-sbert-base) | 15 |
129
+ | 5 | [Fremtind/mmBERT-base-norwegian](https://huggingface.co/Fremtind/mmBERT-base-norwegian) | 7 |
130
 
131
 
132
  ## Training Details