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bert-wnli-2-epochs-2025-06-13-0653 – AI Model by ekiprop | AlphaNeural AI
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ekiprop
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bert-wnli-2-epochs-2025-06-13-0653
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transformers
safetensors
bert
text-classification
generated_from_trainer
google-bert/bert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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bert-wnli-2-epochs-2025-06-13-0653
This model is a fine-tuned version of
bert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.7067
Accuracy: 0.3380
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: 1e-05
train_batch_size: 16
eval_batch_size: 16
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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
40
0.7060
0.3521
No log
2.0
80
0.7067
0.3380
Framework versions
Transformers 4.46.2
Pytorch 2.2.1+cu121
Datasets 3.6.0
Tokenizers 0.20.3
