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TymaaHammouda commited on
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  1. args.json +51 -0
  2. checkpoints/checkpoint_3.pt +3 -0
  3. predictions.txt +0 -0
  4. tag_vocab.pkl +3 -0
  5. tensorboard/Loss_test_loss/events.out.tfevents.1710672766.clnt01-x2f14aaa794.445278.3 +3 -0
  6. tensorboard/Loss_train_loss/events.out.tfevents.1710672766.clnt01-x2f14aaa794.445278.1 +3 -0
  7. tensorboard/Loss_val_loss/events.out.tfevents.1710672766.clnt01-x2f14aaa794.445278.2 +3 -0
  8. tensorboard/Metrics_test_micro_f1/events.out.tfevents.1710672766.clnt01-x2f14aaa794.445278.7 +3 -0
  9. tensorboard/Metrics_test_precision/events.out.tfevents.1710672766.clnt01-x2f14aaa794.445278.8 +3 -0
  10. tensorboard/Metrics_test_recall/events.out.tfevents.1710672766.clnt01-x2f14aaa794.445278.9 +3 -0
  11. tensorboard/Metrics_val_micro_f1/events.out.tfevents.1710672766.clnt01-x2f14aaa794.445278.4 +3 -0
  12. tensorboard/Metrics_val_precision/events.out.tfevents.1710672766.clnt01-x2f14aaa794.445278.5 +3 -0
  13. tensorboard/Metrics_val_recall/events.out.tfevents.1710672766.clnt01-x2f14aaa794.445278.6 +3 -0
  14. tensorboard/events.out.tfevents.1710672177.clnt01-x2f14aaa794.445278.0 +3 -0
  15. train.log +0 -0
args.json ADDED
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+ {
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+ "output_path": "/var/home/nhamad/WojoodNER/output-flat",
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+ "train_path": "/var/home/nhamad/WojoodNER/flat/train.txt",
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+ "val_path": "/var/home/nhamad/WojoodNER/flat/val.txt",
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+ "test_path": "/var/home/nhamad/WojoodNER/flat/test.txt",
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+ "bert_model": "aubmindlab/bert-base-arabertv2",
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+ "gpus": [
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+ "log_interval": 10,
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+ "batch_size": 8,
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+ "num_workers": 0,
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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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+ }
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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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+ "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": 108
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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": 0.0001
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+ }
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+ },
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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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+ "overwrite": false,
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+ "seed": 1
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+ }
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predictions.txt ADDED
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train.log ADDED
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