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Contract-new-tokenizer-KR-FinBert – AI Model by cheongmyeong17 | AlphaNeural AI
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Contract-new-tokenizer-KR-FinBert
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transformers
pytorch
bert
text-classification
generated_from_trainer
text-embeddings-inference
endpoints_compatible
us
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Contract-new-tokenizer-KR-FinBert
This model is a fine-tuned version of
snunlp/KR-FinBert
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.5876
Accuracy: 0.7153
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
0.5985
0.7153
No log
2.0
498
0.5903
0.7143
No log
3.0
747
0.5876
0.7153
Framework versions
Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2
