DeBERTaV3_model – AI Model by sergiomvazq | AlphaNeural AI

You can deploy this model and start earning money today!

sergiomvazq/
DeBERTaV3_model

like

0

text-classification

generated_from_trainer

microsoft/deberta-v3-small

autotrain_compatible

endpoints_compatible

Views

No views yet

DeBERTaV3_model

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

Loss: 0.1419
Accuracy: 0.9615
F1: 0.8400
Precision: 0.875
Recall: 0.8077

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: 5
eval_batch_size: 5
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	Precision	Recall
No log	1.0	26	0.3810	0.875	0.0	0.0	0.0
No log	2.0	52	0.3740	0.875	0.0	0.0	0.0
No log	3.0	78	0.3303	0.875	0.0	0.0	0.0
No log	4.0	104	0.2997	0.875	0.0	0.0	0.0
No log	5.0	130	0.2484	0.8894	0.2581	0.8	0.1538
No log	6.0	156	0.1951	0.9375	0.6977	0.8824	0.5769
No log	7.0	182	0.1752	0.9423	0.7273	0.8889	0.6154
No log	8.0	208	0.1582	0.9519	0.7917	0.8636	0.7308
No log	9.0	234	0.1449	0.9615	0.8400	0.875	0.8077
No log	10.0	260	0.1419	0.9615	0.8400	0.875	0.8077

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.19.2
Tokenizers 0.19.1