deberta-v3-base-finetuned-autext23 – AI Model by andricValdez | AlphaNeural AI

You can deploy this model and start earning money today!

andricValdez/
deberta-v3-base-finetuned-autext23

like

0

generated_from_trainer

microsoft/deberta-v3-base

Views

No views yet

deberta-v3-base-finetuned-autext23

This model is a fine-tuned version of microsoft/deberta-v3-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.5603
Accuracy: 0.8926
F1: 0.8917

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: 64
eval_batch_size: 64
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	F1
No log	1.0	371	0.3067	0.8755	0.8741
0.2052	2.0	742	0.3418	0.8832	0.8821
0.2052	3.0	1113	0.3133	0.9067	0.9063
0.0506	4.0	1484	0.4449	0.9006	0.9000
0.0506	5.0	1855	0.5603	0.8926	0.8917

Framework versions

Transformers 4.40.1
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.19.1