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deberta-v3-large-fever – AI Model by GarciaLnk | AlphaNeural AI
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deberta-v3-large-fever
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transformers
safetensors
deberta-v2
text-classification
generated_from_trainer
microsoft/deberta-v3-large
finetune
mit
autotrain_compatible
endpoints_compatible
us
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deberta-v3-large-fever
This model is a fine-tuned version of
microsoft/deberta-v3-large
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.3771
Accuracy: 0.8864
Model description
Input <= 512: [evidence_text][SEP][claim]
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
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.2748
1.0
7134
0.3707
0.8779
0.1482
2.0
14268
0.3771
0.8864
Framework versions
Transformers 4.35.2
Pytorch 2.1.1
Datasets 2.15.0
Tokenizers 0.14.1
