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Added sample code snippet to perform estimation (from the learned model) #243

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Added sample code snippet to perform estimation (from the learned model) #243

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Update README.md
bhaskar24 Oct 25, 2019
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bhaskar24 Oct 25, 2019
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26 changes: 25 additions & 1 deletion README.md
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Expand Up @@ -166,7 +166,31 @@ From here on, we assume XLNet-Large and XLNet-base has been downloaded to `$LARG

# Expected performance: "eval_pearsonr 0.916+ "
```

- To estimate labels of unknown instances from the learned model
```shell
python run_classifier.py
--do_train=False
--do_eval=False
--do_predict=True
--overwrite_data=True
--predict_dir=${PREDICT_DIR}
--task_name=sts-b
--data_dir=${GLUE_DIR}/STS-B
--output_dir=proc_data/sts-b
--model_dir=exp/sts-b
--uncased=False
--spiece_model_file=${LARGE_DIR}/spiece.model
--model_config_path=${LARGE_DIR}/xlnet_config.json
--init_checkpoint=${LARGE_DIR}/xlnet_model.ckpt
--max_seq_length=128
--train_batch_size=8
--num_hosts=1
--num_core_per_host=4
--train_steps=1200
--warmup_steps=120
--save_steps=600
--is_regression=True
```
**Notes**:

- In the context of GPU training, `num_core_per_host` denotes the number of GPUs to use.
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