Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
deberta-v3-small-finetuned-qnli – AI Model by mrm8488 | AlphaNeural AI
You can deploy this model and start earning money today!
mrm8488
/
deberta-v3-small-finetuned-qnli
like
0
transformers
pytorch
tensorboard
deberta-v2
text-classification
generated_from_trainer
en
glue
mit
model-index
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
DeBERTa-v3-small fine-tuned on QNLI
This model is a fine-tuned version of
microsoft/deberta-v3-small
on the GLUE QNLI dataset. It achieves the following results on the evaluation set:
Loss: 0.2143
Accuracy: 0.9151
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: 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: 5.0
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.2823
1.0
6547
0.2143
0.9151
0.1996
2.0
13094
0.2760
0.9103
0.1327
3.0
19641
0.3293
0.9169
0.0811
4.0
26188
0.4278
0.9193
0.05
5.0
32735
0.5110
0.9176
Framework versions
Transformers 4.13.0.dev0
Pytorch 1.10.0+cu111
Datasets 1.16.1
Tokenizers 0.10.3
