This model is a fine-tuned version of bert-base-multilingual-cased on an seokwoni/review_subset dataset.
It achieves the following results on the evaluation set:
Loss: 0.2394
Accuracy: 0.906
F1: 0.9113
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 2e-05
train_batch_size: 10
eval_batch_size: 10
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 160
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
