CR_ALBERT_5E – AI Model by Etelis | AlphaNeural AI

You can deploy this model and start earning money today!

Etelis/
CR_ALBERT_5E

like

0

text-classification

generated_from_trainer

endpoints_compatible

Views

No views yet

CR_ALBERT_5E

This model is a fine-tuned version of albert-base-v2 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.3540
Accuracy: 0.9267

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: 1e-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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.5091	0.33	50	0.3616	0.86
0.327	0.66	100	0.2728	0.9067
0.2836	0.99	150	0.2753	0.9133
0.1985	1.32	200	0.3048	0.9067
0.2098	1.66	250	0.2365	0.9267
0.2203	1.99	300	0.2369	0.9133
0.1491	2.32	350	0.3029	0.9267
0.1527	2.65	400	0.2475	0.9333
0.1327	2.98	450	0.1993	0.9533
0.0848	3.31	500	0.2112	0.9467
0.0857	3.64	550	0.2498	0.9467
0.089	3.97	600	0.3246	0.9333
0.0613	4.3	650	0.2834	0.9267
0.0355	4.64	700	0.3557	0.9333
0.0479	4.97	750	0.3540	0.9267

Framework versions

Transformers 4.24.0
Pytorch 1.13.0
Datasets 2.3.2
Tokenizers 0.13.1