bert-base-uncased-amazon_polarity

fabriceyhc/bert-base-uncased-amazon_polarity

bert-base-uncased-amazon_polarity is a text classification model from fabriceyhc. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Mar 2, 2022
Updated: Oct 5, 2022
SHA: 36abc4b1

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Datasets

amazon_polarity

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Model card

From the Hugging Face model README

bert-base-uncased-amazon_polarity

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

Loss: 0.2945
Accuracy: 0.9465

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: 1
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1782000
training_steps: 17820000

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.7155	0.0	2000	0.7060	0.4622
0.7054	0.0	4000	0.6925	0.5165
0.6842	0.0	6000	0.6653	0.6116
0.6375	0.0	8000	0.5721	0.7909
0.4671	0.0	10000	0.3238	0.8770
0.3403	0.0	12000	0.3692	0.8861
0.4162	0.0	14000	0.4560	0.8908
0.4728	0.0	16000	0.5071	0.8980
0.5111	0.01	18000	0.5204	0.9015
0.4792	0.01	20000	0.5193	0.9076
0.544	0.01	22000	0.4835	0.9133
0.4745	0.01	24000	0.4689	0.9170
0.4403	0.01	26000	0.4778	0.9177
0.4405	0.01	28000	0.4754	0.9163
0.4375	0.01	30000	0.4808	0.9175
0.4628	0.01	32000	0.4340	0.9244
0.4488	0.01	34000	0.4162	0.9265
0.4608	0.01	36000	0.4031	0.9271
0.4478	0.01	38000	0.4502	0.9253
0.4237	0.01	40000	0.4087	0.9279
0.4601	0.01	42000	0.4133	0.9269
0.4153	0.01	44000	0.4230	0.9306
0.4096	0.01	46000	0.4108	0.9301
0.4348	0.01	48000	0.4138	0.9309
0.3787	0.01	50000	0.4066	0.9324
0.4172	0.01	52000	0.4812	0.9206
0.3897	0.02	54000	0.4013	0.9325
0.3787	0.02	56000	0.3837	0.9344
0.4253	0.02	58000	0.3925	0.9347
0.3959	0.02	60000	0.3907	0.9353
0.4402	0.02	62000	0.3708	0.9341
0.4115	0.02	64000	0.3477	0.9361
0.3876	0.02	66000	0.3634	0.9373
0.4286	0.02	68000	0.3778	0.9378
0.422	0.02	70000	0.3540	0.9361
0.3732	0.02	72000	0.3853	0.9378
0.3641	0.02	74000	0.3951	0.9386
0.3701	0.02	76000	0.3582	0.9388
0.4498	0.02	78000	0.3268	0.9375
0.3587	0.02	80000	0.3825	0.9401
0.4474	0.02	82000	0.3155	0.9391
0.3598	0.02	84000	0.3666	0.9388
0.389	0.02	86000	0.3745	0.9377
0.3625	0.02	88000	0.3776	0.9387
0.3511	0.03	90000	0.4275	0.9336
0.3428	0.03	92000	0.4301	0.9336
0.4042	0.03	94000	0.3547	0.9359
0.3583	0.03	96000	0.3763	0.9396
0.3887	0.03	98000	0.3213	0.9412
0.3915	0.03	100000	0.3557	0.9409
0.3378	0.03	102000	0.3627	0.9418
0.349	0.03	104000	0.3614	0.9402
0.3596	0.03	106000	0.3834	0.9381
0.3519	0.03	108000	0.3560	0.9421
0.3598	0.03	110000	0.3485	0.9419
0.3642	0.03	112000	0.3754	0.9395
0.3477	0.03	114000	0.3634	0.9426
0.4202	0.03	116000	0.3071	0.9427
0.3656	0.03	118000	0.3155	0.9441
0.3709	0.03	120000	0.2923	0.9433
0.374	0.03	122000	0.3272	0.9441
0.3142	0.03	124000	0.3348	0.9444
0.3452	0.04	126000	0.3603	0.9436
0.3365	0.04	128000	0.3339	0.9434
0.3353	0.04	130000	0.3471	0.9450
0.343	0.04	132000	0.3508	0.9418
0.3174	0.04	134000	0.3753	0.9436
0.3009	0.04	136000	0.3687	0.9422
0.3785	0.04	138000	0.3818	0.9396
0.3199	0.04	140000	0.3291	0.9438
0.4049	0.04	142000	0.3372	0.9454
0.3435	0.04	144000	0.3315	0.9459
0.3814	0.04	146000	0.3462	0.9401
0.359	0.04	148000	0.3981	0.9361
0.3552	0.04	150000	0.3226	0.9469
0.345	0.04	152000	0.3731	0.9384
0.3228	0.04	154000	0.2956	0.9471
0.3637	0.04	156000	0.2869	0.9477
0.349	0.04	158000	0.3331	0.9430
0.3374	0.04	160000	0.4159	0.9340
0.3718	0.05	162000	0.3241	0.9459
0.315	0.05	164000	0.3544	0.9391
0.3215	0.05	166000	0.3311	0.9451
0.3464	0.05	168000	0.3682	0.9453
0.3495	0.05	170000	0.3193	0.9469
0.305	0.05	172000	0.4132	0.9389
0.3479	0.05	174000	0.3465	0.947
0.3537	0.05	176000	0.3277	0.9449

Framework versions

Transformers 4.10.2
Pytorch 1.7.1
Datasets 1.12.1
Tokenizers 0.10.3

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Mar 2, 2022
Updated: Oct 5, 2022