Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
debertav3-finetuned-answer-polarity-2e6-newdata – AI Model by GCopoulos | AlphaNeural AI
You can deploy this model and start earning money today!
GCopoulos
/
debertav3-finetuned-answer-polarity-2e6-newdata
like
0
transformers
pytorch
deberta
text-classification
generated_from_trainer
glue
mit
model-index
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
debertav3-finetuned-answer-polarity-2e6-newdata
This model is a fine-tuned version of
microsoft/deberta-base
on the glue dataset. It achieves the following results on the evaluation set:
Loss: 0.4009
F1: 0.8527
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-06
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: 6
Training results
Training Loss
Epoch
Step
Validation Loss
F1
No log
1.0
221
1.1820
0.2111
1.1195
2.0
442
0.7073
0.7068
0.4953
3.0
663
0.5068
0.8311
0.4953
4.0
884
0.4326
0.8498
0.2767
5.0
1105
0.4155
0.8553
0.2147
6.0
1326
0.4009
0.8527
Framework versions
Transformers 4.29.2
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3
