Update results table
Browse files
README.md
CHANGED
|
@@ -19,6 +19,23 @@ The other (non-default) version which can be used is:
|
|
| 19 |
Disclaimer: The team releasing TAPAS did not write a model card for this model so this model card has been written by
|
| 20 |
the Hugging Face team and contributors.
|
| 21 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 22 |
## Model description
|
| 23 |
|
| 24 |
TAPAS is a BERT-like transformers model pretrained on a large corpus of English data from Wikipedia in a self-supervised fashion.
|
| 19 |
Disclaimer: The team releasing TAPAS did not write a model card for this model so this model card has been written by
|
| 20 |
the Hugging Face team and contributors.
|
| 21 |
|
| 22 |
+
## Results on SQA - Dev Accuracy
|
| 23 |
+
|
| 24 |
+
Size | Reset | Dev Accuracy | Link
|
| 25 |
+
-------- | --------| -------- | ----
|
| 26 |
+
LARGE | noreset | 0.7223 | [tapas-large-finetuned-sqa (absolute pos embeddings)](https://huggingface.co/google/tapas-large-finetuned-sqa/tree/no_reset)
|
| 27 |
+
LARGE | reset | 0.7289 | [tapas-large-finetuned-sqa](https://huggingface.co/google/tapas-large-finetuned-sqa/tree/main)
|
| 28 |
+
BASE | noreset | 0.6737 | [tapas-base-finetuned-sqa (absolute pos embeddings)](https://huggingface.co/google/tapas-base-finetuned-sqa/tree/no_reset)
|
| 29 |
+
BASE | reset | 0.6874 | [tapas-base-finetuned-sqa](https://huggingface.co/google/tapas-base-finetuned-sqa/tree/main)
|
| 30 |
+
MEDIUM | noreset | 0.6464 | [tapas-medium-finetuned-sqa (absolute pos embeddings)](https://huggingface.co/google/tapas-medium-finetuned-sqa/tree/no_reset)
|
| 31 |
+
MEDIUM | reset | 0.6561 | [tapas-medium-finetuned-sqa](https://huggingface.co/google/tapas-medium-finetuned-sqa/tree/main)
|
| 32 |
+
SMALL | noreset | 0.5876 | [tapas-small-finetuned-sqa (absolute pos embeddings)](https://huggingface.co/google/tapas-small-finetuned-sqa/tree/no_reset)
|
| 33 |
+
SMALL | reset | 0.6155 | [tapas-small-finetuned-sqa](https://huggingface.co/google/tapas-small-finetuned-sqa/tree/main)
|
| 34 |
+
**MINI** | **noreset** | **0.4574** | [tapas-mini-finetuned-sqa (absolute pos embeddings)](https://huggingface.co/google/tapas-mini-finetuned-sqa/tree/no_reset)
|
| 35 |
+
**MINI** | **reset** | **0.5148** | [tapas-mini-finetuned-sqa](https://huggingface.co/google/tapas-mini-finetuned-sqa/tree/main))
|
| 36 |
+
TINY | noreset | 0.2004 | [tapas-tiny-finetuned-sqa (absolute pos embeddings)](https://huggingface.co/google/tapas-tiny-finetuned-sqa/tree/no_reset)
|
| 37 |
+
TINY | reset | 0.2375 | [tapas-tiny-finetuned-sqa](https://huggingface.co/google/tapas-tiny-finetuned-sqa/tree/main)
|
| 38 |
+
|
| 39 |
## Model description
|
| 40 |
|
| 41 |
TAPAS is a BERT-like transformers model pretrained on a large corpus of English data from Wikipedia in a self-supervised fashion.
|