test_trainer – AI Model by Erioh | AlphaNeural AI

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Erioh/
test_trainer

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text-classification

generated_from_trainer

google-bert/bert-base-cased

autotrain_compatible

endpoints_compatible

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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: 1.0473
Accuracy: 0.581

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: Use OptimizerNames.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: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	125	1.1114	0.497
No log	2.0	250	1.0121	0.571
No log	3.0	375	1.0473	0.581

Framework versions

Transformers 4.47.1
Pytorch 2.5.1+cu124
Tokenizers 0.21.0