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usyk/
mbert_sharetask-finetuned_on_codemixed

Name: mbert_sharetask-finetuned_on_codemixed
Availability: InStock

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mbert_sharetask-finetuned_on_codemixed

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:

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The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 8
eval_batch_size: 8
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: 500
num_epochs: 10
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	F1	Precision	Recall
0.7051	1.0	689	0.6765	0.5762	0.6043	0.5802
0.6595	2.0	1378	0.6776	0.5340	0.6358	0.6070
0.5189	3.0	2067	0.6188	0.7006	0.7005	0.7008
0.3601	4.0	2756	0.7929	0.7351	0.7328	0.7388
0.2626	5.0	3445	1.0238	0.7454	0.7516	0.7414
0.2138	6.0	4134	1.1787	0.7520	0.7884	0.7415
0.1093	7.0	4823	1.3433	0.7561	0.7570	0.7553
0.1722	8.0	5512	1.4097	0.7559	0.7630	0.7515
0.0807	9.0	6201	1.6163	0.7467	0.7491	0.7447
0.062	10.0	6890	1.6218	0.7614	0.7686	0.7569