You can deploy this model and start earning money today!

rgusseinov/
xlmr_multilabel_websites_bertmultiling_uncased

Name: xlmr_multilabel_websites_bertmultiling_uncased
Availability: InStock

Views

No views yet

xlmr_multilabel_websites_bertmultiling_uncased

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

More information needed

More information needed

More information needed

The following hyperparameters were used during training:

learning_rate: 1e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1 Macro	Precision Macro	Recall Macro
0.0002	1.0	33	1.4612	0.8319	0.8263	0.8235	0.8310
0.0001	2.0	66	1.4851	0.8230	0.8164	0.8140	0.8243
0.0001	3.0	99	1.4916	0.8230	0.8173	0.8153	0.8243