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Contract-new-tokenizer-mDeBERTa-v3-kor-further – AI Model by cheongmyeong17 | AlphaNeural AI
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Contract-new-tokenizer-mDeBERTa-v3-kor-further
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transformers
pytorch
deberta-v2
text-classification
generated_from_trainer
mit
text-embeddings-inference
endpoints_compatible
us
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Contract-new-tokenizer-mDeBERTa-v3-kor-further
This model is a fine-tuned version of
lighthouse/mdeberta-v3-base-kor-further
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1272
Accuracy: 0.9628
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
0.1812
0.9386
No log
2.0
498
0.1364
0.9517
No log
3.0
747
0.1272
0.9628
Framework versions
Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2
