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hana-128-0.00002 – AI Model by bella05 | AlphaNeural AI
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hana-128-0.00002
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transformers
safetensors
roberta
text-classification
generated_from_trainer
klue/roberta-large
finetune
autotrain_compatible
endpoints_compatible
us
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hana-128-0.00002
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: 1.5766
Accuracy: 0.7121
F1: 0.7111
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: 128
eval_batch_size: 128
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
0.1482
1.0
549
1.3928
0.7138
0.7099
0.1106
2.0
1098
1.4663
0.7110
0.7103
0.0746
3.0
1647
1.5766
0.7121
0.7111
Framework versions
Transformers 4.41.0
Pytorch 2.2.2
Datasets 2.19.1
Tokenizers 0.19.1
