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deberta_sentcls – AI Model by kkmkorea | AlphaNeural AI
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kkmkorea
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deberta_sentcls
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transformers
pytorch
tensorboard
deberta-v2
text-classification
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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deberta_sentcls
This model is a fine-tuned version of
kisti/korscideberta
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.4937
Accuracy: 0.8409
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: 1.5e-05
train_batch_size: 32
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.9366
1.03
500
0.6700
0.7659
0.472
2.05
1000
0.5110
0.8261
0.3567
3.08
1500
0.4979
0.8371
0.2626
4.11
2000
0.4937
0.8409
Framework versions
Transformers 4.12.5
Pytorch 1.10.1+cu102
Datasets 2.14.6
Tokenizers 0.10.3
