You can deploy this model and start earning money today!

Abhi964/
Paraphrase_mBERT_onfull_V2

Name: Paraphrase_mBERT_onfull_V2
Availability: InStock

Views

No views yet

Paraphrase_mBERT_onfull_V2

This model is a fine-tuned version of google-bert/bert-base-multilingual-cased on an unknown 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: 1.128541231805303e-05
train_batch_size: 16
eval_batch_size: 64
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 6

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.4024	1.0	313	0.4086	0.819	0.8188
0.3593	2.0	626	0.4172	0.8265	0.8259
0.2725	3.0	939	0.3916	0.846	0.8459
0.2771	4.0	1252	0.5387	0.8365	0.8357
0.193	5.0	1565	0.5619	0.8375	0.8372
0.1166	6.0	1878	0.6137	0.842	0.8419