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mainCut-label8 – AI Model by chihun-jang | AlphaNeural AI
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mainCut-label8
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transformers
pytorch
roberta
text-classification
generated_from_trainer
klue/roberta-small
finetune
autotrain_compatible
endpoints_compatible
us
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mainCut-label8
This model is a fine-tuned version of
klue/roberta-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.0021
Accuracy: 0.6429
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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
1.0292
1.0
5000
1.0362
0.6326
0.9881
2.0
10000
1.0196
0.6321
0.9058
3.0
15000
1.0021
0.6429
Framework versions
Transformers 4.32.1
Pytorch 2.0.1
Datasets 2.14.4
Tokenizers 0.13.3
