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test_trainer – AI Model by SamirElawady | AlphaNeural AI
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SamirElawady
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test_trainer
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tensorboard
safetensors
bert
generated_from_trainer
google-bert/bert-base-cased
finetune
apache-2.0
us
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test_trainer
This model is a fine-tuned version of
google-bert/bert-base-cased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.0479
Accuracy: 0.548
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: 5e-05
train_batch_size: 8
eval_batch_size: 8
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
No log
1.0
125
1.5915
0.225
No log
2.0
250
1.3185
0.419
No log
3.0
375
1.0479
0.548
Framework versions
Transformers 4.44.0
Pytorch 2.4.0
Datasets 2.21.0
Tokenizers 0.19.1
