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ANERCorp

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  1. args.json +61 -0
  2. checkpoints/checkpoint_0.pt +3 -0
  3. checkpoints/checkpoint_1.pt +3 -0
  4. checkpoints/checkpoint_2.pt +3 -0
  5. checkpoints/checkpoint_3.pt +3 -0
  6. checkpoints/checkpoint_5.pt +3 -0
  7. predictions.txt +0 -0
  8. tag_vocab.pkl +3 -0
  9. tensorboard/Loss_test_loss/events.out.tfevents.1739299497.6359aa75c4ad.447.3 +3 -0
  10. tensorboard/Loss_train_loss/events.out.tfevents.1739299497.6359aa75c4ad.447.1 +3 -0
  11. tensorboard/Loss_val_loss/events.out.tfevents.1739299497.6359aa75c4ad.447.2 +3 -0
  12. tensorboard/Metrics_test_micro_f1/events.out.tfevents.1739299497.6359aa75c4ad.447.7 +3 -0
  13. tensorboard/Metrics_test_precision/events.out.tfevents.1739299497.6359aa75c4ad.447.8 +3 -0
  14. tensorboard/Metrics_test_recall/events.out.tfevents.1739299497.6359aa75c4ad.447.9 +3 -0
  15. tensorboard/Metrics_val_micro_f1/events.out.tfevents.1739299497.6359aa75c4ad.447.4 +3 -0
  16. tensorboard/Metrics_val_precision/events.out.tfevents.1739299497.6359aa75c4ad.447.5 +3 -0
  17. tensorboard/Metrics_val_recall/events.out.tfevents.1739299497.6359aa75c4ad.447.6 +3 -0
  18. tensorboard/events.out.tfevents.1739299367.6359aa75c4ad.447.0 +3 -0
  19. train.log +0 -0
args.json ADDED
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+ "output_path": "/content/output/",
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+ "train_path": "/content/ArabicNER/ANERCorp/train.txt",
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+ "test_path": "/content/ArabicNER/ANERCorp/test.txt",
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+ "val_path": "/content/ArabicNER/ANERCorp/val.txt",
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+ "seed": 1,
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+ "max_epochs": 50,
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+ "batch_size": 8,
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+ "bert_model": "UBC-NLP/ARBERTv2",
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+ "num_workers": 1,
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+ "gpus": [
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+ "learning_rate": 1e-05,
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+ "max_seq_len": 512,
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+ "overwrite": "True",
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+ "log_interval": 10,
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+ "network_config": {
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+ "fn": "arabiner.nn.BertSeqTagger",
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+ "kwargs": {
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+ "dropout": 0.1,
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+ "bert_model": "aubmindlab/bert-base-arabertv2",
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+ "num_labels": 9
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+ }
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+ },
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+ "optimizer_config": {
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+ "fn": "torch.optim.Adam",
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+ "kwargs": {
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+ "lr": 1e-05
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+ }
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+ },
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+ "trainer_config": {
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+ "fn": "arabiner.trainers.BertTrainer",
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+ "kwargs": {
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+ "max_epochs": 50
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+ }
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+ },
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+ "data_config": {
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+ "fn": "arabiner.data.datasets.DefaultDataset",
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+ "kwargs": {
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+ "max_seq_len": 512,
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+ "bert_model": "aubmindlab/bert-base-arabertv2"
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+ }
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+ },
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+ "optimizer": {
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+ "fn": "torch.optim.AdamW",
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+ "kwargs": {
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+ "lr": 1e-05
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+ "lr_scheduler": {
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+ "fn": "torch.optim.lr_scheduler.ExponentialLR",
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+ "kwargs": {
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+ "gamma": 1
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+ }
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+ },
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+ "loss": {
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+ "fn": "torch.nn.CrossEntropyLoss",
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+ "kwargs": {}
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+ }
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