| 2022-03-27 02:06:28,163 ---------------------------------------------------------------------------------------------------- | |
| 2022-03-27 02:06:28,170 Model: "SequenceTagger( | |
| (embeddings): StackedEmbeddings( | |
| (list_embedding_0): WordEmbeddings('fa') | |
| (list_embedding_1): FlairEmbeddings( | |
| (lm): LanguageModel( | |
| (drop): Dropout(p=0.1, inplace=False) | |
| (encoder): Embedding(5105, 100) | |
| (rnn): LSTM(100, 2048) | |
| (decoder): Linear(in_features=2048, out_features=5105, bias=True) | |
| ) | |
| ) | |
| (list_embedding_2): FlairEmbeddings( | |
| (lm): LanguageModel( | |
| (drop): Dropout(p=0.1, inplace=False) | |
| (encoder): Embedding(5105, 100) | |
| (rnn): LSTM(100, 2048) | |
| (decoder): Linear(in_features=2048, out_features=5105, bias=True) | |
| ) | |
| ) | |
| ) | |
| (word_dropout): WordDropout(p=0.05) | |
| (locked_dropout): LockedDropout(p=0.5) | |
| (embedding2nn): Linear(in_features=4396, out_features=4396, bias=True) | |
| (rnn): LSTM(4396, 256, batch_first=True, bidirectional=True) | |
| (linear): Linear(in_features=512, out_features=17, bias=True) | |
| (beta): 1.0 | |
| (weights): None | |
| (weight_tensor) None | |
| )" | |
| 2022-03-27 02:06:28,173 ---------------------------------------------------------------------------------------------------- | |
| 2022-03-27 02:06:28,178 Corpus: "Corpus: 23060 train + 4070 dev + 4150 test sentences" | |
| 2022-03-27 02:06:28,184 ---------------------------------------------------------------------------------------------------- | |
| 2022-03-27 02:06:28,189 Parameters: | |
| 2022-03-27 02:06:28,194 - learning_rate: "0.1" | |
| 2022-03-27 02:06:28,198 - mini_batch_size: "4" | |
| 2022-03-27 02:06:28,203 - patience: "3" | |
| 2022-03-27 02:06:28,207 - anneal_factor: "0.5" | |
| 2022-03-27 02:06:28,212 - max_epochs: "2" | |
| 2022-03-27 02:06:28,217 - shuffle: "True" | |
| 2022-03-27 02:06:28,219 - train_with_dev: "False" | |
| 2022-03-27 02:06:28,225 - batch_growth_annealing: "False" | |
| 2022-03-27 02:06:28,227 ---------------------------------------------------------------------------------------------------- | |
| 2022-03-27 02:06:28,231 Model training base path: "/content/gdrive/MyDrive/project/data/ner/model2" | |
| 2022-03-27 02:06:28,238 ---------------------------------------------------------------------------------------------------- | |
| 2022-03-27 02:06:28,242 Device: cuda:0 | |
| 2022-03-27 02:06:28,244 ---------------------------------------------------------------------------------------------------- | |
| 2022-03-27 02:06:28,247 Embeddings storage mode: none | |
| 2022-03-27 02:06:30,459 ---------------------------------------------------------------------------------------------------- | |
| 2022-03-27 02:06:30,469 Testing using last state of model ... | |
| 2022-03-27 02:12:42,501 0.8475 0.7185 0.7777 0.647 | |
| 2022-03-27 02:12:42,506 | |
| Results: | |
| - F-score (micro) 0.7777 | |
| - F-score (macro) 0.7833 | |
| - Accuracy 0.647 | |
| By class: | |
| precision recall f1-score support | |
| LOC 0.8821 0.7877 0.8322 4083 | |
| ORG 0.8088 0.6105 0.6958 3166 | |
| PER 0.8381 0.7443 0.7884 2741 | |
| DAT 0.8298 0.6487 0.7282 1150 | |
| MON 0.9377 0.8852 0.9107 357 | |
| TIM 0.5741 0.5602 0.5671 166 | |
| PCT 0.9737 0.9487 0.9610 156 | |
| micro avg 0.8475 0.7185 0.7777 11819 | |
| macro avg 0.8349 0.7408 0.7833 11819 | |
| weighted avg 0.8457 0.7185 0.7757 11819 | |
| samples avg 0.6470 0.6470 0.6470 11819 | |
| 2022-03-27 02:12:42,508 ---------------------------------------------------------------------------------------------------- | |
| 2022-03-27 02:06:28,163 ---------------------------------------------------------------------------------------------------- | |
| 2022-03-27 02:06:28,170 Model: "SequenceTagger( | |
| (embeddings): StackedEmbeddings( | |
| (list_embedding_0): WordEmbeddings('fa') | |
| (list_embedding_1): FlairEmbeddings( | |
| (lm): LanguageModel( | |
| (drop): Dropout(p=0.1, inplace=False) | |
| (encoder): Embedding(5105, 100) | |
| (rnn): LSTM(100, 2048) | |
| (decoder): Linear(in_features=2048, out_features=5105, bias=True) | |
| ) | |
| ) | |
| (list_embedding_2): FlairEmbeddings( | |
| (lm): LanguageModel( | |
| (drop): Dropout(p=0.1, inplace=False) | |
| (encoder): Embedding(5105, 100) | |
| (rnn): LSTM(100, 2048) | |
| (decoder): Linear(in_features=2048, out_features=5105, bias=True) | |
| ) | |
| ) | |
| ) | |
| (word_dropout): WordDropout(p=0.05) | |
| (locked_dropout): LockedDropout(p=0.5) | |
| (embedding2nn): Linear(in_features=4396, out_features=4396, bias=True) | |
| (rnn): LSTM(4396, 256, batch_first=True, bidirectional=True) | |
| (linear): Linear(in_features=512, out_features=17, bias=True) | |
| (beta): 1.0 | |
| (weights): None | |
| (weight_tensor) None | |
| )" | |
| 2022-03-27 02:06:28,173 ---------------------------------------------------------------------------------------------------- | |
| 2022-03-27 02:06:28,178 Corpus: "Corpus: 23060 train + 4070 dev + 4150 test sentences" | |
| 2022-03-27 02:06:28,184 ---------------------------------------------------------------------------------------------------- | |
| 2022-03-27 02:06:28,189 Parameters: | |
| 2022-03-27 02:06:28,194 - learning_rate: "0.1" | |
| 2022-03-27 02:06:28,198 - mini_batch_size: "4" | |
| 2022-03-27 02:06:28,203 - patience: "3" | |
| 2022-03-27 02:06:28,207 - anneal_factor: "0.5" | |
| 2022-03-27 02:06:28,212 - max_epochs: "2" | |
| 2022-03-27 02:06:28,217 - shuffle: "True" | |
| 2022-03-27 02:06:28,219 - train_with_dev: "False" | |
| 2022-03-27 02:06:28,225 - batch_growth_annealing: "False" | |
| 2022-03-27 02:06:28,227 ---------------------------------------------------------------------------------------------------- | |
| 2022-03-27 02:06:28,231 Model training base path: "/content/gdrive/MyDrive/project/data/ner/model2" | |
| 2022-03-27 02:06:28,238 ---------------------------------------------------------------------------------------------------- | |
| 2022-03-27 02:06:28,242 Device: cuda:0 | |
| 2022-03-27 02:06:28,244 ---------------------------------------------------------------------------------------------------- | |
| 2022-03-27 02:06:28,247 Embeddings storage mode: none | |
| 2022-03-27 02:06:30,459 ---------------------------------------------------------------------------------------------------- | |
| 2022-03-27 02:06:30,469 Testing using last state of model ... | |
| 2022-03-27 02:12:42,501 0.8475 0.7185 0.7777 0.647 | |
| 2022-03-27 02:12:42,506 | |
| Results: | |
| - F-score (micro) 0.7777 | |
| - F-score (macro) 0.7833 | |
| - Accuracy 0.647 | |
| By class: | |
| precision recall f1-score support | |
| LOC 0.8821 0.7877 0.8322 4083 | |
| ORG 0.8088 0.6105 0.6958 3166 | |
| PER 0.8381 0.7443 0.7884 2741 | |
| DAT 0.8298 0.6487 0.7282 1150 | |
| MON 0.9377 0.8852 0.9107 357 | |
| TIM 0.5741 0.5602 0.5671 166 | |
| PCT 0.9737 0.9487 0.9610 156 | |
| micro avg 0.8475 0.7185 0.7777 11819 | |
| macro avg 0.8349 0.7408 0.7833 11819 | |
| weighted avg 0.8457 0.7185 0.7757 11819 | |
| samples avg 0.6470 0.6470 0.6470 11819 | |
| 2022-03-27 02:12:42,508 ---------------------------------------------------------------------------------------------------- | |