mindspore-ci-bot
Gitee
5 years ago
2 changed files with 10 additions and 8 deletions
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model_zoo/official/nlp/bert/README.md
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| @@ -448,9 +448,9 @@ The result will be as follows: | |||
| | Parameters | Ascend | GPU | | |||
| | -------------------------- | ---------------------------------------------------------- | ------------------------- | | |||
| | Model Version | BERT_base | BERT_base | | |||
| | Resource | Ascend 910, cpu:2.60GHz 192cores, memory:755G | NV SMX2 V100-32G | | |||
| | Resource | Ascend 910, cpu:2.60GHz 192cores, memory:755G | NV SMX2 V100-32G | | |||
| | uploaded Date | 08/22/2020 | 05/06/2020 | | |||
| | MindSpore Version | 0.6.0 | 0.3.0 | | |||
| | MindSpore Version | 1.0.0 | 1.0.0 | | |||
| | Dataset | cn-wiki-128(4000w) | ImageNet | | |||
| | Training Parameters | src/config.py | src/config.py | | |||
| | Optimizer | Lamb | Momentum | | |||
| @@ -463,14 +463,14 @@ The result will be as follows: | |||
| | Total time | 73h | | | |||
| | Params (M) | 110M | | | |||
| | Checkpoint for Fine tuning | 1.2G(.ckpt file) | | | |||
| | Scripts | [BERT_base](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/official/nlp/bert) | | | |||
| | Parameters | Ascend | GPU | | |||
| | -------------------------- | ---------------------------------------------------------- | ------------------------- | | |||
| | Model Version | BERT_NEZHA | BERT_NEZHA | | |||
| | Resource | Ascend 910, cpu:2.60GHz 192cores, memory:755G | NV SMX2 V100-32G | | |||
| | Resource | Ascend 910, cpu:2.60GHz 192cores, memory:755G | NV SMX2 V100-32G | | |||
| | uploaded Date | 08/20/2020 | 05/06/2020 | | |||
| | MindSpore Version | 0.6.0 | 0.3.0 | | |||
| | MindSpore Version | 1.0.0 | 1.0.0 | | |||
| | Dataset | cn-wiki-128(4000w) | ImageNet | | |||
| | Training Parameters | src/config.py | src/config.py | | |||
| | Optimizer | Lamb | Momentum | | |||
| @@ -483,6 +483,7 @@ The result will be as follows: | |||
| | Total time | 200h | | | |||
| | Params (M) | 340M | | | |||
| | Checkpoint for Fine tuning | 3.2G(.ckpt file) | | | |||
| | Scripts | [BERT_NEZHA](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/official/nlp/bert) | | | |||
| #### Inference Performance | |||
| @@ -491,7 +492,7 @@ The result will be as follows: | |||
| | Model Version | | | | |||
| | Resource | Ascend 910 | NV SMX2 V100-32G | | |||
| | uploaded Date | 08/22/2020 | 05/22/2020 | | |||
| | MindSpore Version | 0.6.0 | 0.2.0 | | |||
| | MindSpore Version | 1.0.0 | 1.0.0 | | |||
| | Dataset | cola, 1.2W | ImageNet, 1.2W | | |||
| | batch_size | 32(1P) | 130(8P) | | |||
| | Accuracy | 0.588986 | ACC1[72.07%] ACC5[90.90%] | | |||
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model_zoo/official/nlp/tinybert/README.md
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| @@ -354,7 +354,7 @@ The best acc is 0.891176 | |||
| | Model Version | TinyBERT | TinyBERT | | |||
| | Resource | Ascend 910, cpu:2.60GHz 192cores, memory:755G | NV SMX2 V100-32G, cpu:2.10GHz 64cores, memory:251G | | |||
| | uploaded Date | 08/20/2020 | 08/24/2020 | | |||
| | MindSpore Version | 0.6.0 | 0.7.0 | | |||
| | MindSpore Version | 1.0.0 | 1.0.0 | | |||
| | Dataset | cn-wiki-128 | cn-wiki-128 | | |||
| | Training Parameters | src/gd_config.py | src/gd_config.py | | |||
| | Optimizer | AdamWeightDecay | AdamWeightDecay | | |||
| @@ -365,6 +365,7 @@ The best acc is 0.891176 | |||
| | Total time | 17.3h(3poch, 8p) | 48h(3poch, 8p) | | |||
| | Params (M) | 15M | 15M | | |||
| | Checkpoint for task distill| 74M(.ckpt file) | 74M(.ckpt file) | | |||
| | Scripts | [TinyBERT](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/official/nlp/tinybert) | | | |||
| #### Inference Performance | |||
| @@ -373,7 +374,7 @@ The best acc is 0.891176 | |||
| | Model Version | | | | |||
| | Resource | Ascend 910 | NV SMX2 V100-32G | | |||
| | uploaded Date | 08/20/2020 | 08/24/2020 | | |||
| | MindSpore Version | 0.6.0 | 0.7.0 | | |||
| | MindSpore Version | 1.0.0 | 1.0.0 | | |||
| | Dataset | SST-2, | SST-2 | | |||
| | batch_size | 32 | 32 | | |||
| | Accuracy | 0.902777 | 0.9086 | | |||