bert-base-uncased-git-issues-300 – AI Model by ClementPoirier | AlphaNeural AI

You can deploy this model and start earning money today!

ClementPoirier/
bert-base-uncased-git-issues-300

like

0

generated_from_trainer

google-bert/bert-base-uncased

autotrain_compatible

endpoints_compatible

Views

No views yet

bert-base-uncased-git-issues-300

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

Loss: 1.1053

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: 32
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 16

Training results

Training Loss	Epoch	Step	Validation Loss
1.8844	1.0	292	1.5801
1.4336	2.0	584	1.3511
1.3005	3.0	876	1.3213
1.2259	4.0	1168	1.3135
1.1555	5.0	1460	1.2115
1.1244	6.0	1752	1.1086
1.0804	7.0	2044	1.1925
1.0563	8.0	2336	1.1238
1.028	9.0	2628	1.1172
1.0075	10.0	2920	1.0936
0.9868	11.0	3212	1.0710
0.9761	12.0	3504	1.1149
0.9529	13.0	3796	1.0510
0.9476	14.0	4088	1.0389
0.9407	15.0	4380	1.0905
0.9362	16.0	4672	1.1053

Framework versions

Transformers 4.32.1
Pytorch 2.2.0.dev20231111
Datasets 2.14.6
Tokenizers 0.13.3