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liar-deberta-v3-base_first_attempt – AI Model by fidhal-ad | AlphaNeural AI
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liar-deberta-v3-base_first_attempt
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transformers
pytorch
deberta-v2
text-classification
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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liar-deberta-v3-base_first_attempt
This model is a fine-tuned version of
microsoft/deberta-v3-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.6722
Accuracy: 0.2705
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: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
1.7307
1.0
642
1.6722
0.2705
Framework versions
Transformers 4.30.2
Pytorch 2.0.1
Datasets 2.13.0
Tokenizers 0.13.3
