NVIDIA Deep Learning Examples
NVIDIA Deep Learning Examples
BERT PyTorch checkpoint (Large, SST-2, seqLen128, AMP)
Model
NVIDIA Deep Learning Examples
NVIDIA Deep Learning Examples
BERT PyTorch checkpoint (Large, SST-2, seqLen128, AMP)

BERT Large PyTorch checkpoint finetuned on GLUE/SST-2 dataset using AMP

1 Version
21.11.0_ampSelected
09/22/2022 5:40 PM UTC1.25 GBAccuracy: 92.773 EpochsBatch Size: 1024GPU: V100
architecture
KeyValue
taskSST-2
typeLarge
performance
KeyValue
accuracy92.77
training
KeyValue
batch_size1024
LR1e-05
training_precisionAMP
max_seq_length128
epochs3
datasetsst-2
warmup_proportion0.1

NVIDIA uses cookies to improve your experience on our web site. We and our third-party partners also use cookies and other tools to collect and record information you provide as well as information about your interactions with our websites for performance improvement, analytics, and to assist in marketing efforts. By clicking "Accept All", you consent to our use of cookies and other tools as described in our Cookie Policy. You can manage your cookie settings by clicking on "Manage Settings." By continuing to use this site or by clicking one of the buttons below, you agree to our Terms of Service (which contains important waivers). Please see our Privacy Policy for more information on our privacy practices.