bert-base-uncased-yahoo_answers_topics – AI Model by fabriceyhc | AlphaNeural AI

You can deploy this model and start earning money today!

fabriceyhc/
bert-base-uncased-yahoo_answers_topics

like

0

text-classification

generated_from_trainer

yahoo_answers_topics

autotrain_compatible

endpoints_compatible

Views

No views yet

bert-base-uncased-yahoo_answers_topics

This model is a fine-tuned version of bert-base-uncased on the yahoo_answers_topics dataset. It achieves the following results on the evaluation set:

Loss: 0.8092
Accuracy: 0.7499

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 5e-05
train_batch_size: 8
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 86625
training_steps: 866250

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.162	0.01	2000	1.7444	0.5681
1.3126	0.02	4000	1.0081	0.7054
0.9592	0.03	6000	0.9021	0.7234
0.8903	0.05	8000	0.8827	0.7276
0.8685	0.06	10000	0.8540	0.7341
0.8422	0.07	12000	0.8547	0.7365
0.8535	0.08	14000	0.8264	0.7372
0.8178	0.09	16000	0.8331	0.7389
0.8325	0.1	18000	0.8242	0.7411
0.8181	0.12	20000	0.8356	0.7437
0.8171	0.13	22000	0.8090	0.7451
0.8092	0.14	24000	0.8469	0.7392
0.8057	0.15	26000	0.8185	0.7478
0.8085	0.16	28000	0.8090	0.7467
0.8229	0.17	30000	0.8225	0.7417
0.8151	0.18	32000	0.8262	0.7419
0.81	0.2	34000	0.8149	0.7383
0.8073	0.21	36000	0.8225	0.7441
0.816	0.22	38000	0.8037	0.744
0.8217	0.23	40000	0.8409	0.743
0.82	0.24	42000	0.8286	0.7385
0.8101	0.25	44000	0.8282	0.7413
0.8254	0.27	46000	0.8170	0.7414

Framework versions

Transformers 4.10.2
Pytorch 1.7.1
Datasets 1.6.1
Tokenizers 0.10.3