Comments (2)
Look at the previous line. The true labels and noise samples are concatenated together. Therefore, since the true label for all the examples is in the first column, they all have the same target value.
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Oh! I see it now. I had missed that the loss is computed based on which one is the true target assuming a set of the true target and negative examples. Thanks!
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Related Issues (15)
- RuntimeError: inconsistent tensor size HOT 7
- how to build Log_Uniform Sampler? HOT 1
- dead link (Google Billion Word Dataset for Torch) HOT 1
- Is the dataset offline? HOT 3
- Resume Training? HOT 2
- missing train_data.pt
- missing dataset
- state of the art performance? HOT 8
- Nondeterministic result? HOT 1
- ImportError: cannot import name 'LogUniformSampler' HOT 4
- build Log_Uniform Sampler HOT 1
- Pretrained Model? HOT 2
- Preprocess problem HOT 1
- TypeError: iteration over a 0-d tensor HOT 1
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