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extension1 – AI Model by charisgao | AlphaNeural AI
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charisgao
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extension1
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transformers
safetensors
roberta
text-classification
generated_from_trainer
charisgao/wnc-pretrain
finetune
mit
autotrain_compatible
endpoints_compatible
us
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This model is a fine-tuned version of
charisgao/wnc-pretrain
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.7055
Precision: 0.8153
Recall: 0.905
F1: 0.8578
Accuracy: 0.8071
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: 8
eval_batch_size: 8
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
0.486
0.8547
100
0.5181
0.8224
0.8627
0.8421
0.7871
0.4273
1.7094
200
0.5258
0.8095
0.9167
0.8598
0.8032
0.3528
2.5641
300
0.7278
0.8072
0.8824
0.8431
0.7839
Framework versions
Transformers 4.46.3
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3
