Comments (1)
use tensorboard to monitor model accuracy and loss.use ctrl+c to stop the model --you can fire back train.py to resume training.run eval.py to see how you model has performed. this file is usually linked to validation sets which you can update as you wish.
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Related Issues (20)
- how to understand decoder_inputs have ["<s>"] while y_hat, y or x don't have ["<s>"] HOT 1
- How do you connect Convolutional layers to Transformers?
- Can anyone improve the code to reproduce WMT2014 results?
- Why to remove query masking?
- something about Model.py , in which something wrong between encoder and decoder HOT 2
- 自己学习率没有调节好 HOT 4
- 无 HOT 1
- Error! excuting the train.py
- Question:multihead_attention()’s output and ff()‘s output need dropout?
- Is value must be linear transformed at multi-head attention?
- request for dataset HOT 1
- 请问下,有TF2.X有实现的代码吗
- There is a problem when I execute the command bash download.sh HOT 2
- train error
- 多头问题的实现推导不太理解
- 您好,我想请问论文里bleu和meteor的数据是怎么得到的?我运行test.py文件,出现的是很多句子。
- 数据集链接失效了 HOT 3
- tensorflow.python.framework.errors_impl.InvalidArgumentError: indices[27,100] = 100 is not in [0, 100) HOT 2
- About the query_mask
- about spm.SentencePieceTrainer.Train(train) HOT 1
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