Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
deberta-v3-base-DIALOCONAN-CLS – AI Model by xoyeop | AlphaNeural AI
You can deploy this model and start earning money today!
xoyeop
/
deberta-v3-base-DIALOCONAN-CLS
like
0
transformers
pytorch
tensorboard
deberta-v2
text-classification
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
deberta-v3-base-DIALOCONAN-CLS
This model is a fine-tuned version of
microsoft/deberta-v3-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.3523
Precision: 0.7050
Recall: 0.7068
F1: 0.7057
Accuracy: 0.9395
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: 3e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
0.4495
1.0
2500
0.4334
0.6818
0.6802
0.6797
0.9043
0.2925
2.0
5000
0.3642
0.6944
0.6959
0.6943
0.9243
0.173
3.0
7500
0.3523
0.7050
0.7068
0.7057
0.9395
Framework versions
Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3
