You can deploy this model and start earning money today!

BDAIO/
result-colab-with_tokenizer

Name: result-colab-with_tokenizer
Availability: InStock

Views

No views yet

result-colab-with_tokenizer

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:

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
1.2288	1.0	48	0.9276	0.6789	0.5929	0.6138	0.5825
0.7686	2.0	96	0.5879	0.7661	0.7354	0.7159	0.7019
0.5665	3.0	144	0.4706	0.8440	0.8498	0.8238	0.8281
0.4813	4.0	192	0.4045	0.8578	0.8514	0.8329	0.8354
0.3716	5.0	240	0.3770	0.8624	0.8566	0.8398	0.8426
0.3535	6.0	288	0.3538	0.8853	0.8760	0.8664	0.8690
0.2511	7.0	336	0.3626	0.8716	0.8631	0.8573	0.8591
0.2826	8.0	384	0.3490	0.8899	0.8809	0.8886	0.8823
0.2295	9.0	432	0.3372	0.8807	0.8697	0.8720	0.8705
0.181	10.0	480	0.3410	0.8853	0.8743	0.8789	0.8757
0.178	11.0	528	0.3416	0.8945	0.8847	0.8927	0.8869
0.208	12.0	576	0.3390	0.8945	0.8847	0.8927	0.8869