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my-bert-classifier3 – AI Model by singhshiva | AlphaNeural AI
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singhshiva
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my-bert-classifier3
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pytorch
tensorboard
safetensors
bert
generated_from_trainer
apache-2.0
us
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my-bert-classifier3
This model is a fine-tuned version of
bert-base-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1438
Accuracy: 0.9649
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: 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
Accuracy
0.069
1.0
506
0.1066
0.9693
0.0174
2.0
1012
0.1438
0.9649
Framework versions
Transformers 4.28.0
Pytorch 2.2.1+cu121
Datasets 3.4.1
Tokenizers 0.13.3
