Gchhablani
Rank:Average Model Cost: $0.0000
Number of Runs: 2,659
Models by this creator
fnet-base-finetuned-qqp
$-/run
776
Huggingface
bert-base-cased-finetuned-qqp
$-/run
555
Huggingface
fnet-base-finetuned-stsb
$-/run
459
Huggingface
bert-base-cased-finetuned-sst2
$-/run
311
Huggingface
fnet-base-finetuned-sst2
$-/run
277
Huggingface
bert-base-cased-finetuned-rte
bert-base-cased-finetuned-rte
Platform did not provide a description for this model.
$-/run
83
Huggingface
bert-base-cased-finetuned-mnli
bert-base-cased-finetuned-mnli
Platform did not provide a description for this model.
$-/run
71
Huggingface
fnet-base-finetuned-rte
fnet-base-finetuned-rte
fnet-base-finetuned-rte This model is a fine-tuned version of google/fnet-base on the GLUE RTE dataset. It achieves the following results on the evaluation set: Loss: 0.6978 Accuracy: 0.6282 The model was fine-tuned to compare google/fnet-base as introduced in this paper against bert-base-cased. Model description More information needed Intended uses & limitations More information needed Training and evaluation data More information needed Training procedure This model is trained using the run_glue script. The following command was used:
$-/run
67
Huggingface
bert-base-cased-finetuned-mrpc
bert-base-cased-finetuned-mrpc
Platform did not provide a description for this model.
$-/run
32
Huggingface
fnet-base-finetuned-wnli
$-/run
28
Huggingface