ComOM-VIDeBERTa-2 – AI Model by datleviet | AlphaNeural AI

You can deploy this model and start earning money today!

datleviet/
ComOM-VIDeBERTa-2

like

0

text-classification

generated_from_trainer

Fsoft-AIC/videberta-base

autotrain_compatible

endpoints_compatible

Views

No views yet

ComOM-VIDeBERTa-2

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

Loss: 1.3046
Accuracy: 0.5357

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: 8

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	77	1.4249	0.4708
No log	2.0	154	1.4096	0.4708
No log	3.0	231	1.3871	0.4708
No log	4.0	308	1.3809	0.5032
No log	5.0	385	1.3529	0.5195
No log	6.0	462	1.3257	0.5260
1.4302	7.0	539	1.3101	0.5325
1.4302	8.0	616	1.3046	0.5357

Framework versions

Transformers 4.35.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.14.1