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BERT PyTorch checkpoint (Dist-4L-288D, Pretraining, AMP)
Model
NVIDIA Deep Learning Examples
NVIDIA Deep Learning Examples
BERT PyTorch checkpoint (Dist-4L-288D, Pretraining, AMP)

BERT Distilled 4L-288D PyTorch checkpoint distilled on pretraining dataset using AMP

1 Version
21.11.0_ampSelected
07/07/2022 2:25 PM UTC50.45 MBAccuracy: 00 EpochsBatch Size: 256GPU: V100
architecture
KeyValue
attn_heads12
taskPretraining
hidden_size288
layers4
typeDist-4L-288D
performance
KeyValue
loss0.6395510681051957
rep_loss0.30611084806291683
att_loss0.29690841490762276
value_loss0.03653180576468769
training
KeyValue
batch_size256
LR0.0001
training_precisionAMP
max_seq_length512
steps6861
datasetwikipedia+bookcorpus
warmup_proportion0.1

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