Name | Modified | Size | Downloads / Week |
---|---|---|---|
Parent folder | |||
repunct-model-new.zip | 2021-07-08 | 1.1 GB | |
README.md | 2021-07-08 | 1.0 kB | |
Repunt new model + quantization.tar.gz | 2021-07-08 | 524.1 kB | |
Repunt new model + quantization.zip | 2021-07-08 | 533.5 kB | |
Totals: 4 Items | 1.1 GB | 0 |
Zip archive contains params.json with training params (we need this for configure our model's network), weights (*.pt) and logs. Just extract this archive in models/ directory. Expected directory structure after extraction:
models
└── repunct-model-new
├── logs
│ └── repunct-model-new_logs.txt
├── params.json
└── weights
├── weights_ep6_9912.pt
└── _quantized_weights_ep5_9912.pt
Model evaluation metrics
Best validation Acc: 9912204619275377
Confusion Matrix:
[22035741 102978 4773]
[ 107477 2112209 2878]
[ 7320 1558 1478818]
O:
Precision: 0.9948
Recall: 0.9951
F1 score: 0.995
COMMA:
Precision: 0.9528
Recall: 0.9503
F1 score: 0.9516
PERIOD:
Precision: 0.9949
Recall: 0.994
F1 score: 0.9944
COMMA + PERIOD:
Precision: 0.9697
Recall: 0.9679
F1 score: 0.9688