patrickvonplaten
commited on
Commit
•
4fd1310
1
Parent(s):
5b0557f
Update README.md
Browse files
README.md
CHANGED
@@ -87,6 +87,19 @@ The training was done on a single 16GB NVIDIA Tesla V100 GPU. For MRPC/WNLI, the
|
|
87 |
|
88 |
The following table summarizes the results for [fnet-base](https://huggingface.co/google/fnet-base) (called *FNet (PyTorch) - Reproduced*) and [bert-base-cased](https://hf.co/models/bert-base-cased) (called *Bert (PyTorch) - Reproduced*) in terms of training times. The format is *hour:min:seconds*.
|
89 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
90 |
| Task | MNLI-(m/mm) | QQP | QNLI | SST-2 | CoLA | STS-B | MRPC | RTE | WNLI | SUM |
|
91 |
|:----:|:-----------:|:----:|:----:|:-----:|:----:|:-----:|:----:|:----:|:----:|:-------:|
|
92 |
|FNet-base (PyTorch)| [06:40:55](https://huggingface.co/gchhablani/fnet-base-finetuned-mnli)| [06:21:16](https://huggingface.co/gchhablani/fnet-base-finetuned-qqp) | [01:48:22](https://huggingface.co/gchhablani/fnet-base-finetuned-qnli) | [01:09:27](https://huggingface.co/gchhablani/fnet-base-finetuned-sst2) | [00:09:47](https://huggingface.co/gchhablani/fnet-base-finetuned-cola) | [00:07:09](https://huggingface.co/gchhablani/fnet-base-finetuned-stsb) | [00:07:48](https://huggingface.co/gchhablani/fnet-base-finetuned-mrpc) | [00:03:24](https://huggingface.co/gchhablani/fnet-base-finetuned-rte) | [00:02:37](https://huggingface.co/gchhablani/fnet-base-finetuned-wnli) | 16:30:45 |
|
|
|
87 |
|
88 |
The following table summarizes the results for [fnet-base](https://huggingface.co/google/fnet-base) (called *FNet (PyTorch) - Reproduced*) and [bert-base-cased](https://hf.co/models/bert-base-cased) (called *Bert (PyTorch) - Reproduced*) in terms of training times. The format is *hour:min:seconds*.
|
89 |
|
90 |
+
| Task/Model | FNet-base (PyTorch) |Bert-base (PyTorch)|
|
91 |
+
| MNLI-(m/mm) | [06:40:55](https://huggingface.co/gchhablani/fnet-base-finetuned-mnli) | [09:52:33](https://huggingface.co/gchhablani/bert-base-cased-finetuned-mnli)|
|
92 |
+
| QQP | [06:21:16](https://huggingface.co/gchhablani/fnet-base-finetuned-qqp) | [09:25:01](https://huggingface.co/gchhablani/bert-base-cased-finetuned-qqp) |
|
93 |
+
| QNLI | [01:48:22](https://huggingface.co/gchhablani/fnet-base-finetuned-qnli) | [02:40:22](https://huggingface.co/gchhablani/bert-base-cased-finetuned-qnli)|
|
94 |
+
| SST-2 | [01:09:27](https://huggingface.co/gchhablani/fnet-base-finetuned-sst2) | [01:42:17](https://huggingface.co/gchhablani/bert-base-cased-finetuned-sst2)|
|
95 |
+
| CoLA | [00:09:47](https://huggingface.co/gchhablani/fnet-base-finetuned-cola) | [00:14:20](https://huggingface.co/gchhablani/bert-base-cased-finetuned-cola)|
|
96 |
+
| STS-B | [00:07:09](https://huggingface.co/gchhablani/fnet-base-finetuned-stsb) | [00:10:24](https://huggingface.co/gchhablani/bert-base-cased-finetuned-stsb)|
|
97 |
+
| MRPC | [00:07:48](https://huggingface.co/gchhablani/fnet-base-finetuned-mrpc) | [00:11:12](https://huggingface.co/gchhablani/bert-base-cased-finetuned-mrpc)|
|
98 |
+
| RTE | [00:03:24](https://huggingface.co/gchhablani/fnet-base-finetuned-rte) | [00:04:51](https://huggingface.co/gchhablani/bert-base-cased-finetuned-rte)|
|
99 |
+
| WNLI | [00:02:37](https://huggingface.co/gchhablani/fnet-base-finetuned-wnli) | [00:03:23](https://huggingface.co/gchhablani/bert-base-cased-finetuned-wnli)|
|
100 |
+
| SUM | 16:30:45 | 24:23:56 |
|
101 |
+
|
102 |
+
|
103 |
| Task | MNLI-(m/mm) | QQP | QNLI | SST-2 | CoLA | STS-B | MRPC | RTE | WNLI | SUM |
|
104 |
|:----:|:-----------:|:----:|:----:|:-----:|:----:|:-----:|:----:|:----:|:----:|:-------:|
|
105 |
|FNet-base (PyTorch)| [06:40:55](https://huggingface.co/gchhablani/fnet-base-finetuned-mnli)| [06:21:16](https://huggingface.co/gchhablani/fnet-base-finetuned-qqp) | [01:48:22](https://huggingface.co/gchhablani/fnet-base-finetuned-qnli) | [01:09:27](https://huggingface.co/gchhablani/fnet-base-finetuned-sst2) | [00:09:47](https://huggingface.co/gchhablani/fnet-base-finetuned-cola) | [00:07:09](https://huggingface.co/gchhablani/fnet-base-finetuned-stsb) | [00:07:48](https://huggingface.co/gchhablani/fnet-base-finetuned-mrpc) | [00:03:24](https://huggingface.co/gchhablani/fnet-base-finetuned-rte) | [00:02:37](https://huggingface.co/gchhablani/fnet-base-finetuned-wnli) | 16:30:45 |
|