gbert-base-finetuned-twitter_ – AI Model by JanSt | AlphaNeural AI

You can deploy this model and start earning money today!

JanSt/
gbert-base-finetuned-twitter_

like

0

generated_from_trainer

deepset/gbert-base

autotrain_compatible

endpoints_compatible

Views

No views yet

gbert-base-finetuned-twitter_

This model is a fine-tuned version of deepset/gbert-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.6651

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: 2e-05
train_batch_size: 192
eval_batch_size: 192
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss
2.1933	1.0	4180	1.9612
2.0051	2.0	8360	1.8795
1.939	3.0	12540	1.8310
1.8928	4.0	16720	1.8013
1.8594	5.0	20900	1.7730
1.8336	6.0	25080	1.7702
1.8145	7.0	29260	1.7449
1.7963	8.0	33440	1.7277
1.7806	9.0	37620	1.7105
1.7682	10.0	41800	1.7061
1.7584	11.0	45980	1.7041
1.7454	12.0	50160	1.6899
1.7374	13.0	54340	1.6850
1.7295	14.0	58520	1.6856
1.7232	15.0	62700	1.6819
1.715	16.0	66880	1.6730
1.7101	17.0	71060	1.6723
1.7057	18.0	75240	1.6655
1.7038	19.0	79420	1.6617
1.702	20.0	83600	1.6625

Framework versions

Transformers 4.32.1
Pytorch 2.0.1+cu117
Datasets 2.14.4
Tokenizers 0.13.3