Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
finetuning-sentiment-model-deberta – AI Model by devtanumisra | AlphaNeural AI
You can deploy this model and start earning money today!
devtanumisra
/
finetuning-sentiment-model-deberta
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
finetuning-sentiment-model-deberta
This model is a fine-tuned version of
yangheng/deberta-v3-base-absa-v1.1
on the None dataset. It achieves the following results on the evaluation set:
eval_loss: 1.5697
eval_accuracy: 0.7219
eval_runtime: 3.6045
eval_samples_per_second: 130.668
eval_steps_per_second: 8.323
step: 0
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: 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: 10
Framework versions
Transformers 4.24.0
Pytorch 1.12.1+cu113
Datasets 2.6.1
Tokenizers 0.13.2
