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aia_ad – AI Model by jjlee8 | AlphaNeural AI
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aia_ad
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tensorboard
safetensors
distilbert
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
us
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Model card
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aia_ad
This model is a fine-tuned version of
distilbert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.5898
Matthews Correlation: 0.5240
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: 6.492770406223326e-05
train_batch_size: 8
eval_batch_size: 16
seed: 7
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Matthews Correlation
0.5254
1.0
1069
0.4842
0.4366
0.3345
2.0
2138
0.5898
0.5240
Framework versions
Transformers 4.42.4
Pytorch 2.3.1+cu121
Tokenizers 0.19.1
