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Independent publisher

Qingqing Cao

csarron

efficient NLP, mobile systems

Models in Library3
Datasets in Library0
Models on Hugging Face17
Followers5

Models

Model · Question answering

mobilebert-uncased-squad-v2

Qingqing Cao

MobileBERT is a thin version of BERTLARGE, while equipped with bottleneck structures and a carefully designed balance between self-attentions and feed-forward networks. This model was fine-tuned from the HuggingFace checkpoint google/mobilebert-uncased on SQuAD2.0. CPU: Intel(R) Core(TM) i7-6800K CPU @ 3.40GHz Memory: 32 GiB GPUs: 2 GeForce GTX 1070, each with 8GiB memory GPU driver: 418.87.01, CUDA: 10.1 It took about 3.5 hours to finish. Note that the above results didn't involve any hyperparameter search.

Open weights mit 25M parameters 512 tokens transformers

Model · Question answering

bert-base-uncased-squad-v1

Qingqing Cao

This model was fine-tuned from the HuggingFace BERT base uncased checkpoint on SQuAD1.1. CPU: Intel(R) Core(TM) i7-6800K CPU @ 3.40GHz Memory: 32 GiB GPUs: 2 GeForce GTX 1070, each with 8GiB memory GPU driver: 418.87.01, CUDA: 10.1 It took about 2 hours to finish. Note that the above results didn't involve any hyperparameter search.

Open weights mit 109M parameters 512 tokens transformers

Model · Question answering

mobilebert-uncased-squad-v1

Qingqing Cao

MobileBERT is a thin version of BERTLARGE, while equipped with bottleneck structures and a carefully designed balance between self-attentions and feed-forward networks. This model was fine-tuned from the HuggingFace checkpoint google/mobilebert-uncased on SQuAD1.1. CPU: Intel(R) Core(TM) i7-6800K CPU @ 3.40GHz Memory: 32 GiB GPUs: 2 GeForce GTX 1070, each with 8GiB memory GPU driver: 418.87.01, CUDA: 10.1 It took about 3 hours to finish. Note that the above results didn't involve any hyperparameter search.

Open weights mit 25M parameters 512 tokens transformers