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ArabicNER-Wojood

Token Classification
Transformers
TensorBoard
Arabic
bert
fill-mask
Named Entity Recognition
Arabic NER
Nested NER
Inference Endpoints
Model card Files Metrics Community
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Files changed (22) hide show
  1. args.json +74 -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_4.pt +3 -0
  7. checkpoints/checkpoint_5.pt +3 -0
  8. checkpoints/checkpoint_6.pt +3 -0
  9. checkpoints/checkpoint_7.pt +3 -0
  10. checkpoints/checkpoint_8.pt +3 -0
  11. tag_vocab.pkl +3 -0
  12. tensorboard/Loss_test_loss/events.out.tfevents.1678566895.clnt01-x2f14aaa794.3572669.3 +3 -0
  13. tensorboard/Loss_train_loss/events.out.tfevents.1678566895.clnt01-x2f14aaa794.3572669.1 +3 -0
  14. tensorboard/Loss_val_loss/events.out.tfevents.1678566895.clnt01-x2f14aaa794.3572669.2 +3 -0
  15. tensorboard/Metrics_test_micro_f1/events.out.tfevents.1678566895.clnt01-x2f14aaa794.3572669.7 +3 -0
  16. tensorboard/Metrics_test_precision/events.out.tfevents.1678566895.clnt01-x2f14aaa794.3572669.8 +3 -0
  17. tensorboard/Metrics_test_recall/events.out.tfevents.1678566895.clnt01-x2f14aaa794.3572669.9 +3 -0
  18. tensorboard/Metrics_val_micro_f1/events.out.tfevents.1678566895.clnt01-x2f14aaa794.3572669.4 +3 -0
  19. tensorboard/Metrics_val_precision/events.out.tfevents.1678566895.clnt01-x2f14aaa794.3572669.5 +3 -0
  20. tensorboard/Metrics_val_recall/events.out.tfevents.1678566895.clnt01-x2f14aaa794.3572669.6 +3 -0
  21. tensorboard/events.out.tfevents.1678566273.clnt01-x2f14aaa794.3572669.0 +3 -0
  22. train.log +0 -0
args.json ADDED
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+ "train_path": "/var/home/mkhalilia/data/wojood/seed1/nested/train1.txt",
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+ "val_path": "/var/home/mkhalilia/data/wojood/seed1/nested/valid1.txt",
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+ "test_path": "/var/home/mkhalilia/data/wojood/seed1/nested/test1.txt",
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+ "bert_model": "aubmindlab/bert-base-arabertv2",
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+ "log_interval": 100,
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+ "batch_size": 16,
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+ "data_config": {
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+ "fn": "arabiner.data.datasets.NestedTagsDataset",
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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.BertNestedTrainer",
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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.BertNestedTagger",
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+ "kwargs": {
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+ "bert_model": "aubmindlab/bert-base-arabertv2",
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+ "lr": 1e-05
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+ "loss": {
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+ "fn": "torch.nn.CrossEntropyLoss",
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+ "kwargs": {}
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+ "seed": 1
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