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Contract-new-tokenizer-mDeBERTa-v3-kor-further – AI Model by skang187 | AlphaNeural AI
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skang187
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Contract-new-tokenizer-mDeBERTa-v3-kor-further
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transformers
pytorch
deberta-v2
text-classification
generated_from_trainer
autotrain_compatible
endpoints_compatible
us
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Contract-new-tokenizer-mDeBERTa-v3-kor-further
This model is a fine-tuned version of
skang187/before
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0605
Accuracy: 0.9879
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: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
249
0.0780
0.9779
No log
2.0
498
0.0563
0.9879
No log
3.0
747
0.0605
0.9879
Framework versions
Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2
