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!7916 update lstm README
Merge pull request !7916 from caojian05/ms_master_lstm_bugfix
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@ -31,6 +31,7 @@ LSTM contains embeding, encoder and decoder modules. Encoder module consists of
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# [Dataset](#contents)
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Note that you can run the scripts based on the dataset mentioned in original paper or widely used in relevant domain/network architecture. In the following sections, we will introduce how to run the scripts using the related dataset below.
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- aclImdb_v1 for training evaluation.[Large Movie Review Dataset](http://ai.stanford.edu/~amaas/data/sentiment/)
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- GloVe: Vector representations for words.[GloVe: Global Vectors for Word Representation](https://nlp.stanford.edu/projects/glove/)
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@ -226,8 +227,8 @@ config.py:
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| Parameters | LSTM (GPU) | LSTM (CPU) |
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| -------------------------- | -------------------------------------------------------------- | -------------------------- |
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| Resource | Tesla V100-SMX2-16GB | Ubuntu X86-i7-8565U-16GB |
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| uploaded Date | 08/06/2020 (month/day/year) | 08/06/2020 (month/day/year)|
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| MindSpore Version | 0.6.0-beta | 0.6.0-beta |
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| uploaded Date | 10/28/2020 (month/day/year) | 10/28/2020 (month/day/year)|
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| MindSpore Version | 1.0.0 | 1.0.0 |
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| Dataset | aclimdb_v1 | aclimdb_v1 |
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| Training Parameters | epoch=20, batch_size=64 | epoch=20, batch_size=64 |
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| Optimizer | Momentum | Momentum |
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@ -244,8 +245,8 @@ config.py:
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| Parameters | LSTM (GPU) | LSTM (CPU) |
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| ------------------- | --------------------------- | ---------------------------- |
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| Resource | Tesla V100-SMX2-16GB | Ubuntu X86-i7-8565U-16GB |
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| uploaded Date | 08/06/2020 (month/day/year) | 08/06/2020 (month/day/year) |
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| MindSpore Version | 0.6.0-beta | 0.6.0-beta |
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| uploaded Date | 10/28/2020 (month/day/year) | 10/28/2020 (month/day/year) |
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| MindSpore Version | 1.0.0 | 1.0.0 |
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| Dataset | aclimdb_v1 | aclimdb_v1 |
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| batch_size | 64 | 64 |
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| Accuracy | 84% | 83% |
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