electra-base-discriminator-finetuned-detests – AI Model by Pablo94 | AlphaNeural AI

You can deploy this model and start earning money today!

Pablo94/
electra-base-discriminator-finetuned-detests

like

0

text-classification

generated_from_trainer

google/electra-base-discriminator

autotrain_compatible

endpoints_compatible

Views

No views yet

electra-base-discriminator-finetuned-detests

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

Loss: 1.1215
Accuracy: 0.7807
F1-score: 0.7308
Precision: 0.7162
Recall: 0.7768
Auc: 0.7768

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: 16
eval_batch_size: 16
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	Accuracy	F1-score	Precision	Recall	Auc
0.3236	1.0	174	0.4661	0.7610	0.6684	0.6647	0.6728	0.6728
0.3239	2.0	348	0.4287	0.7987	0.7144	0.7138	0.7149	0.7149
0.3421	3.0	522	0.5586	0.7741	0.7292	0.7163	0.7853	0.7853
0.2288	4.0	696	0.6229	0.7807	0.7308	0.7162	0.7768	0.7768
0.1888	5.0	870	0.6629	0.7954	0.7293	0.7173	0.7483	0.7483
0.2205	6.0	1044	0.8462	0.8036	0.7349	0.7251	0.7485	0.7485
0.1512	7.0	1218	0.8362	0.8151	0.7335	0.7367	0.7306	0.7306
0.2345	8.0	1392	1.0372	0.7758	0.7204	0.7063	0.7584	0.7584
0.0592	9.0	1566	1.0396	0.7840	0.7291	0.7142	0.7663	0.7663
0.0381	10.0	1740	1.1215	0.7807	0.7308	0.7162	0.7768	0.7768

Framework versions

Transformers 4.33.1
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3