Update README.md

README.md

@@ -83,7 +83,43 @@ CLUECorpus2020 and CLUECorpusSmall are used as training corpus.
 
 ## Training procedure
 
-Training details can be found in [UER-py](https://github.com/dbiir/UER-py/).
+Models are pre-trained by [UER-py](https://github.com/dbiir/UER-py/) on Tencent Cloud TI-ONE. We pre-train 1,000,000 steps with a sequence length of 128 and then pre-train 250,000 additional steps with a sequence length of 512.
+
+```
+python3 preprocess.py --corpus_path corpora/cluecorpus.txt \
+                      --vocab_path models/google_zh_vocab.txt \
+					  --dataset_path cluecorpus_seq128_dataset.pt \
+					  --processes_num 32 --seq_length 128 \
+					  --dynamic_masking --target mlm
+```
+```
+python3 pretrain.py --dataset_path cluecorpus_seq128_dataset.pt \
+                    --vocab_path models/google_zh_vocab.txt \
+					--config_path models/bert_tiny_config.json \
+					--output_model_path models/cluecorpus_roberta_tiny_seq128_model.bin \
+					--world_size 8 --gpu_ranks 0 1 2 3 4 5 6 7 \
+					--total_steps 1000000 --save_checkpoint_steps 100000 --report_steps 50000 \
+					--learning_rate 1e-4 --batch_size 64 \
+					--tie_weights --encoder bert --target mlm
+```
+```
+python3 preprocess.py --corpus_path corpora/cluecorpus.txt \
+                      --vocab_path models/google_zh_vocab.txt \
+					  --dataset_path cluecorpus_seq512_dataset.pt \
+					  --processes_num 32 --seq_length 512 \
+					  --dynamic_masking --target mlm
+```
+```
+python3 pretrain.py --dataset_path cluecorpus_seq512_dataset.pt \
+                    --pretrained_model_path models/cluecorpus_roberta_tiny_seq128_model.bin-1000000 \
+					--vocab_path models/google_zh_vocab.txt \
+					--config_path models/bert_tiny_config.json \
+					--output_model_path models/cluecorpus_roberta_tiny_seq512_model.bin \
+					--world_size 8 --gpu_ranks 0 1 2 3 4 5 6 7 \
+					--total_steps 250000 --save_checkpoint_steps 50000 --report_steps 10000 \
+					--learning_rate 5e-5 --batch_size 16 \
+					--tie_weights --encoder bert --target mlm
+```
 
 ### BibTeX entry and citation info