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- accuracy: 0.98200
- f1: 0.86952
- recall: 0.87917
- precision: 0.86008

per_device_train_batch_size=20,
per_device_eval_batch_size=20,
num_train_epochs=30,
weight_decay=0.01,
max_grad_norm=1.0,
adam_epsilon=1e-8,

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Model size

109M params

Tensor type

F32

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Token Classification

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