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FrinzTheCoder/
bert-base-multilingual-cased-orm

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bert-base-multilingual-cased-orm

This model is a fine-tuned version of google-bert/bert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:

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The following hyperparameters were used during training:

learning_rate: 3e-05
train_batch_size: 64
eval_batch_size: 16
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 51
num_epochs: 4

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1 Binary	Precision	Recall
No log	1.0	259	0.1653	0.7433	0.4089	0.2993	0.6450
0.1075	2.0	518	0.1231	0.7939	0.4728	0.3649	0.6714
0.1075	3.0	777	0.1391	0.8638	0.5556	0.5043	0.6186
0.0496	4.0	1036	0.1292	0.8416	0.5498	0.4515	0.7030