tuned_test_trainer-bert-base-uncased – AI Model by Shiko07 | AlphaNeural AI

You can deploy this model and start earning money today!

Shiko07/
tuned_test_trainer-bert-base-uncased

like

0

text-classification

generated_from_trainer

google-bert/bert-base-uncased

autotrain_compatible

endpoints_compatible

Views

No views yet

tuned_test_trainer-bert-base-uncased

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

Loss: 0.6178
Rmse: 0.7287

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: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Rmse
0.7033	1.0	500	0.6323	0.6645
0.5289	2.0	1000	0.6178	0.7287
0.333	3.0	1500	0.7281	0.6512
0.2234	4.0	2000	1.0422	0.6663
0.1501	5.0	2500	1.2281	0.6914
0.0929	6.0	3000	1.5626	0.7082
0.0643	7.0	3500	1.6458	0.6950
0.0386	8.0	4000	1.8954	0.6863
0.0262	9.0	4500	1.9457	0.6925
0.0185	10.0	5000	1.9945	0.6793

Framework versions

Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1