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deberta_sentt – AI Model by kkmkorea | AlphaNeural AI
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kkmkorea
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deberta_sentt
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pytorch
tensorboard
deberta-v2
generated_from_trainer
mit
us
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deberta_sentt
This model is a fine-tuned version of
kkmkorea/deberta_sentt
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.7937
Accuracy: 0.7667
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: 16
eval_batch_size: 8
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: 4
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.01
1.32
500
2.1629
0.7340
0.0108
2.64
1000
2.0197
0.7504
0.0012
3.96
1500
1.7937
0.7667
Framework versions
Transformers 4.30.1
Pytorch 2.1.0a0+b5021ba
Datasets 3.5.0
Tokenizers 0.13.3
