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.github
.github
 
 
docs
docs
 
 
examples
examples
 
 
fairseq
fairseq
 
 
fairseq_cli
fairseq_cli
 
 
scripts
scripts
 
 
tests
tests
 
 
.gitignore
.gitignore
 
 
.gitmodules
.gitmodules
 
 
CODE_OF_CONDUCT.md
CODE_OF_CONDUCT.md
 
 
CONTRIBUTING.md
CONTRIBUTING.md
 
 
LICENSE
LICENSE
 
 
README.md
README.md
 
 
data_process_pretrain.py
data_process_pretrain.py
 
 
get_model.py
get_model.py
 
 
hubconf.py
hubconf.py
 
 
model_dot.py
model_dot.py
 
 
model_plain_bert_concat.py
model_plain_bert_concat.py
 
 
model_plain_bert_dot.py
model_plain_bert_dot.py
 
 
model_plain_bert_dot2.py
model_plain_bert_dot2.py
 
 
model_plain_bert_dot3.py
model_plain_bert_dot3.py
 
 
model_plain_bert_dot4.py
model_plain_bert_dot4.py
 
 
model_plain_bert_dot5.py
model_plain_bert_dot5.py
 
 
model_plain_bert_dot6.py
model_plain_bert_dot6.py
 
 
model_plain_bert_hf.py
model_plain_bert_hf.py
 
 
model_plain_large.py
model_plain_large.py
 
 
model_plain_roberta_dot.py
model_plain_roberta_dot.py
 
 
model_pretrain.py
model_pretrain.py
 
 
model_pretrain_mlm.py
model_pretrain_mlm.py
 
 
model_sparse_bert_hf.py
model_sparse_bert_hf.py
 
 
pretrain.py
pretrain.py
 
 
pretrain_mlm.py
pretrain_mlm.py
 
 
pretrain_mlm_alldata.py
pretrain_mlm_alldata.py
 
 
pyproject.toml
pyproject.toml
 
 
setup.py
setup.py
 
 
sparse_transformers.py
sparse_transformers.py
 
 
test.sh
test.sh
 
 
test.ww
test.ww
 
 
test_dot.py
test_dot.py
 
 
test_plain_bert_concat.py
test_plain_bert_concat.py
 
 
test_plain_bert_dot.py
test_plain_bert_dot.py
 
 
test_plain_bert_dot4.py
test_plain_bert_dot4.py
 
 
test_plain_bert_dot4_dist.py
test_plain_bert_dot4_dist.py
 
 
test_sparse_bert_dot4_dist.py
test_sparse_bert_dot4_dist.py
 
 
train.py
train.py
 
 
train_dot.py
train_dot.py
 
 
train_glue.py
train_glue.py
 
 
train_plain_bert.py
train_plain_bert.py
 
 
train_plain_bert_concat.py
train_plain_bert_concat.py
 
 
train_plain_bert_dot.py
train_plain_bert_dot.py
 
 
train_plain_bert_dot2.py
train_plain_bert_dot2.py
 
 
train_plain_bert_dot3.py
train_plain_bert_dot3.py
 
 
train_plain_bert_dot3_con.py
train_plain_bert_dot3_con.py
 
 
train_plain_bert_dot3_fp16.py
train_plain_bert_dot3_fp16.py
 
 
train_plain_bert_dot4.py
train_plain_bert_dot4.py
 
 
train_plain_bert_dot4_con.py
train_plain_bert_dot4_con.py
 
 
train_plain_bert_dot4_fp16.py
train_plain_bert_dot4_fp16.py
 
 
train_plain_bert_dot4_fp16_hf.py
train_plain_bert_dot4_fp16_hf.py
 
 
train_plain_bert_dot5.py
train_plain_bert_dot5.py
 
 
train_plain_bert_dot6.py
train_plain_bert_dot6.py
 
 
train_plain_bert_dot_dist.py
train_plain_bert_dot_dist.py
 
 
train_sparse_bert_dot4_fp16_hf.py
train_sparse_bert_dot4_fp16_hf.py
 
 
train_sparse_bert_dot4_fp16_hf_reload.py
train_sparse_bert_dot4_fp16_hf_reload.py
 
 
utils_pretrain.py
utils_pretrain.py
 
 
utils_pretrain_mlm.py
utils_pretrain_mlm.py
 
 
utils_pretrain_mlm_alldata.py
utils_pretrain_mlm_alldata.py
 
 
utils_sample.py
utils_sample.py
 
 
utils_sample_concat.py
utils_sample_concat.py
 
 
utils_sample_deepwalk.py
utils_sample_deepwalk.py
 
 
x.py
x.py
 
 

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A repo providing the Roberta model finetuning script on MIND dataset based on fairseq.

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Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

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  • Python 97.5%
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