Update README.md

README.md

@@ -743,20 +743,20 @@ It achieves the following results on the evaluation set:
 
 Thus far, all completed in fp32 (_using nvidia tf32 dtype behind the scenes when supported_)
 
-| Model                              | Size  | CoLA  | SST2 | MRPC | STSB | QQP  | MNLI | QNLI | RTE  | Avg      |
-|------------------------------------|-------|-------|------|------|------|------|------|------|------|----------|
-| bert-plus-L8-4096-v1.0 | 88.1M | 62.72 | 90.6 | 86.59| 92.07| 90.6 | 83.2 | 90.0 | 66.43| 82.78 |
-| bert_uncased_L-8_H-768_A-12        | 81.2M | 54.0  | 92.6 | 85.43| 92.60| 90.6 | 81.0 | 90.0 | 67.0 | 81.65 |
-| bert-base-uncased                  | 110M  | 52.1  | 93.5 | 88.9 | 85.8 | 71.2 | 84.0 | 90.5 | 66.4 | 79.05    |
+| Model                              | Size  | Avg      | CoLA  | SST2 | MRPC | STSB | QQP  | MNLI | QNLI | RTE   |
+|------------------------------------|-------|----------|-------|------|------|------|------|------|------|-------|
+| bert-plus-L8-4096-v1.0             | 88.1M | 82.78    | 62.72 | 90.6 | 86.59| 92.07| 90.6 | 83.2 | 90.0 | 66.43 |
+| bert_uncased_L-8_H-768_A-12        | 81.2M | 81.65    | 54.0  | 92.6 | 85.43| 92.60| 90.6 | 81.0 | 90.0 | 67.0  |
+| bert-base-uncased                  | 110M  | 79.05    | 52.1  | 93.5 | 88.9 | 85.8 | 71.2 | 84.0 | 90.5 | 66.4  |
 
 and some comparisons to recent BERT models taken from [nomic's blog post](https://blog.nomic.ai/posts/nomic-embed-text-v1):
 
-| Model         | Size  | CoLA  | SST2 | MRPC | STSB | QQP  | MNLI | QNLI | RTE  | Avg   |
-|---------------|-------|-------|------|------|------|------|------|------|------|-------|
-| NomicBERT     | 137M   | 50.00 | 93.00| 88.00| 90.00| 92.00| 86.00| 92.00| 82.00| 84.00 |
-| RobertaBase   | 125M    | 64.00 | 95.00| 90.00| 91.00| 92.00| 88.00| 93.00| 79.00| 86.00 |
-| JinaBERTBase  | 137M    | 51.00 | 95.00| 88.00| 90.00| 81.00| 86.00| 92.00| 79.00| 83.00 |
-| MosaicBERT    | 137M (??)    | 59.00 | 94.00| 89.00| 90.00| 92.00| 86.00| 91.00| 83.00| 85.00 |
+| Model         | Size  | Avg   | CoLA  | SST2 | MRPC | STSB | QQP  | MNLI | QNLI | RTE   |
+|---------------|-------|-------|-------|------|------|------|------|------|------|-------|
+| NomicBERT     | 137M  | 84.00 | 50.00 | 93.00| 88.00| 90.00| 92.00| 86.00| 92.00| 82.00 |
+| RobertaBase   | 125M  | 86.00 | 64.00 | 95.00| 90.00| 91.00| 92.00| 88.00| 93.00| 79.00 |
+| JinaBERTBase  | 137M  | 83.00 | 51.00 | 95.00| 88.00| 90.00| 81.00| 86.00| 92.00| 79.00 |
+| MosaicBERT    | 137M  | 85.00 | 59.00 | 94.00| 89.00| 90.00| 92.00| 86.00| 91.00| 83.00 |
 
 ### Observations: