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pogny-16-0.001 – AI Model by bella05 | AlphaNeural AI
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bella05
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pogny-16-0.001
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transformers
pytorch
roberta
text-classification
generated_from_trainer
klue/roberta-large
finetune
autotrain_compatible
endpoints_compatible
us
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pogny-16-0.001
This model is a fine-tuned version of
klue/roberta-large
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.6847
Accuracy: 0.4376
F1: 0.2665
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: 0.001
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
1.7729
1.0
4818
1.8008
0.4376
0.2665
1.7377
2.0
9636
1.7499
0.4376
0.2665
1.6614
3.0
14454
1.6847
0.4376
0.2665
Framework versions
Transformers 4.34.1
Pytorch 2.1.0a0+b5021ba
Datasets 2.6.2
Tokenizers 0.14.1
