Update README.md

README.md

@@ -4,13 +4,9 @@ Naming pattern:
 2. `GPL/${dataset}-tsdae-msmarco-distilbert-gpl`: Model with training order of (1) TSDAE on ${dataset} -> (2) MarginMSE on MSMARCO -> (3) GPL on ${dataset};
 3. `GPL/msmarco-distilbert-margin-mse`: Model trained on MSMARCO with MarginMSE;
 4. `GPL/${dataset}-tsdae-msmarco-distilbert-margin-mse`: Model with training order of (1) TSDAE on ${dataset} -> (2) MarginMSE on MSMARCO;
+5. `GPL/${dataset}-distilbert-tas-b-gpl-self_miner`: Starting from the [tas-b model](https://huggingface.co/sentence-transformers/msmarco-distilbert-base-tas-b), the models were trained with GPL on the target corpus ${dataset} with the base model itself as the negative miner (here noted as "self_miner").
 
 Actually, models in 1. and 2. are built on top of 3. and 4., respectively.
 
-** NEW **
-
-1. `GPL/${dataset}-distilbert-tas-b-gpl-self_miner`: Starting from the [tas-b model](https://huggingface.co/sentence-transformers/msmarco-distilbert-base-tas-b), the models were trained with GPL on the target corpus ${dataset} with the base model itself as the negative miner (here noted as "self_miner"). Query generation setup: Keeping the total number of generated queries = 250K and the default `queries_per_passage` is setup to 3; so if the corpus size is larger than 250K/3=83.3K, the corpus will be truncated to 83.3K; and if the corpus size is below 250K/3=83.3K, the `queries_per_passage` will be increased accordingly to meet the standard (e.g. for 50K-sized corpus, the `queries_per_passage` will be set to 250K/50K=5).
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