update lstm README

pull/7916/head
CaoJian 4 years ago
parent 5ca155ae6b
commit c6982d1f1b

@ -31,6 +31,7 @@ LSTM contains embeding, encoder and decoder modules. Encoder module consists of
# [Dataset](#contents)
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.
- aclImdb_v1 for training evaluation.[Large Movie Review Dataset](http://ai.stanford.edu/~amaas/data/sentiment/)
- GloVe: Vector representations for words.[GloVe: Global Vectors for Word Representation](https://nlp.stanford.edu/projects/glove/)
@ -226,8 +227,8 @@ config.py:
| Parameters | LSTM (GPU) | LSTM (CPU) |
| -------------------------- | -------------------------------------------------------------- | -------------------------- |
| Resource | Tesla V100-SMX2-16GB | Ubuntu X86-i7-8565U-16GB |
| uploaded Date | 08/06/2020 (month/day/year) | 08/06/2020 (month/day/year)|
| MindSpore Version | 0.6.0-beta | 0.6.0-beta |
| uploaded Date | 10/28/2020 (month/day/year) | 10/28/2020 (month/day/year)|
| MindSpore Version | 1.0.0 | 1.0.0 |
| Dataset | aclimdb_v1 | aclimdb_v1 |
| Training Parameters | epoch=20, batch_size=64 | epoch=20, batch_size=64 |
| Optimizer | Momentum | Momentum |
@ -244,8 +245,8 @@ config.py:
| Parameters | LSTM (GPU) | LSTM (CPU) |
| ------------------- | --------------------------- | ---------------------------- |
| Resource | Tesla V100-SMX2-16GB | Ubuntu X86-i7-8565U-16GB |
| uploaded Date | 08/06/2020 (month/day/year) | 08/06/2020 (month/day/year) |
| MindSpore Version | 0.6.0-beta | 0.6.0-beta |
| uploaded Date | 10/28/2020 (month/day/year) | 10/28/2020 (month/day/year) |
| MindSpore Version | 1.0.0 | 1.0.0 |
| Dataset | aclimdb_v1 | aclimdb_v1 |
| batch_size | 64 | 64 |
| Accuracy | 84% | 83% |

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