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Description
- fix tokenizer save vs. save_model
- merge the logic of finetune and pretrain
{'WordTokenizer': {'10000': {'off-eval-ar': {'birnn': {'loss': [0.6514959335327148],
'precision': [0.5062719851330723],
'recall': [0.5004618023485948],
'f1': [0.454612213786187],
'accuracy': [0.7950155763239876]}}}}}
vs.
{'UBC-NLP/MARBERTv2': {'off-eval-ar': {'loss': [0.4560829699039459],
'precision': [0.4009345794392523],
'recall': [0.5],
'f1': [0.44502074688796683],
'accuracy': [0.8018691588785046]}}}
- prevent data leakage between different runs/models
- test multiple tasks
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