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deberta-base-finetuned-cola – AI Model by zhangfx7 | AlphaNeural AI
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zhangfx7
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deberta-base-finetuned-cola
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transformers
pytorch
tensorboard
deberta
text-classification
generated_from_trainer
glue
mit
model-index
autotrain_compatible
endpoints_compatible
us
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deberta-base-finetuned-cola
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: 0.6187
Matthews Correlation: 0.0
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: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Matthews Correlation
0.6187
1.0
535
0.6187
0.0
Framework versions
Transformers 4.24.0
Pytorch 1.12.1+cu113
Datasets 2.6.1
Tokenizers 0.13.2
