diff --git a/doc/doc_en/config_en.md b/doc/doc_en/config_en.md index d467a7f918ed57eb80754483715f3671fd2552c7..ea5c1a472e9cc45bdededc97475a7c423dff1047 100644 --- a/doc/doc_en/config_en.md +++ b/doc/doc_en/config_en.md @@ -28,7 +28,7 @@ Take rec_chinese_lite_train_v2.0.yml as an example | epoch_num | Maximum training epoch number | 500 | \ | | log_smooth_window | Log queue length, the median value in the queue each time will be printed | 20 | \ | | print_batch_step | Set print log interval | 10 | \ | -| save_model_dir | Set model save path | output/{算法名称} | \ | +| save_model_dir | Set model save path | output/{algorithm_name} | \ | | save_epoch_step | Set model save interval | 3 | \ | | eval_batch_step | Set the model evaluation interval | 2000 or [1000, 2000] | running evaluation every 2000 iters or evaluation is run every 2000 iterations after the 1000th iteration | | cal_metric_during_train | Set whether to evaluate the metric during the training process. At this time, the metric of the model under the current batch is evaluated | true | \ | @@ -245,4 +245,4 @@ For more supported languages, please refer to : [Multi-language model](https://g The multi-language model training method is the same as the Chinese model. The training data set is 100w synthetic data. A small amount of fonts and test data can be downloaded using the following two methods. * [Baidu Netdisk](https://pan.baidu.com/s/1bS_u207Rm7YbY33wOECKDA),Extraction code:frgi. -* [Google drive](https://drive.google.com/file/d/18cSWX7wXSy4G0tbKJ0d9PuIaiwRLHpjA/view) \ No newline at end of file +* [Google drive](https://drive.google.com/file/d/18cSWX7wXSy4G0tbKJ0d9PuIaiwRLHpjA/view)