Update README.md

README.md

@@ -24,6 +24,7 @@ datasets:
 - hpprc/mqa-ja
 - google-research-datasets/paws-x
 base_model: pkshatech/GLuCoSE-base-ja
+license: apache-2.0
 ---
 
 # SentenceTransformer
@@ -42,14 +43,6 @@ This is a [sentence-transformers](https://www.SBERT.net) model trained. It maps
 <!-- - **Language:** Unknown -->
 <!-- - **License:** Unknown -->
 
-### Full Model Architecture
-
-```
-SentenceTransformer(
-  (0): Transformer({'max_seq_length': 512, 'do_lower_case': False}) with Transformer model: LukeModel 
-  (1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': False, 'pooling_mode_mean_tokens': True, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
-)
-```
 
 ## Usage
 
@@ -132,8 +125,8 @@ You can finetune this model on your own dataset.
 - Tokenizers: 0.19.1
 ## Benchmarks
 
-## Zero-shot Search
-Evaluated with [MIRACL-ja](https://huggingface.co/datasets/miracl/miracl), [JQARA][https://huggingface.co/datasets/hotchpotch/JQaRA] and [MLDR-ja][https://huggingface.co/datasets/Shitao/MLDR].
+### Zero-shot Search
+Evaluated with [MIRACL-ja](https://huggingface.co/datasets/miracl/miracl), [JQARA]（https://huggingface.co/datasets/hotchpotch/JQaRA） and [MLDR-ja](https://huggingface.co/datasets/Shitao/MLDR).
 
 | model | size | MIRACL<br>Recall@5 | JQaRA<br>nDCG@10 | MLDR<br>nDCG@10 |
 |--------|--------|---------------------|-------------------|-------------------|
@@ -141,8 +134,8 @@ Evaluated with [MIRACL-ja](https://huggingface.co/datasets/miracl/miracl), [JQAR
 | GLuCoSE | 0.1B | 53.3 | 30.8 | 25.2 |
 | GLuCoSE v2 | 0.1B | 85.5 | 60.6 | 33.8 |
 
-## JMTEB
-Evaluated with [JMTEB][https://github.com/sbintuitions/JMTEB].
+### JMTEB
+Evaluated with [JMTEB](https://github.com/sbintuitions/JMTEB).
 * Time-consuming [‘amazon_review_classification’, ‘mrtydi’, ‘jaqket’, ‘esci’] were excluded and evaluated.
 * The average is a macro-average per task.
 
@@ -153,11 +146,16 @@ Evaluated with [JMTEB][https://github.com/sbintuitions/JMTEB].
 | GLuCoSE v2 | 0.1B | 80.5 | 82.8 | 83.0 | 49.8 | 62.4 | 71.7 |
 
 
-## Citation
+## Authors
+Chihiro Yano, Go Mocho, Hideyuki Tachibana, Hiroto Takegawa, Yotaro Watanabe
 
-### BibTeX
+## License
+This model is published under the [Apache License, Version 2.0](https://www.apache.org/licenses/LICENSE-2.0).
 
 <!--
+## Citation
+
+### BibTeX
 ## Glossary
 
 *Clearly define terms in order to be accessible across audiences.*