0.1 – AI Model by BoranIsmet | AlphaNeural AI

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BoranIsmet/
0.1

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text-classification

generated_from_trainer

google-bert/bert-base-uncased

autotrain_compatible

endpoints_compatible

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0.1

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: 0.7142
Accuracy: 0.6462

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: 2e-05
train_batch_size: 128
eval_batch_size: 128
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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	20	0.6721	0.6029
No log	2.0	40	0.6689	0.5921
No log	3.0	60	0.6553	0.6173
No log	4.0	80	0.6527	0.6282
No log	5.0	100	0.6651	0.6282
No log	6.0	120	0.6669	0.6245
No log	7.0	140	0.7001	0.6209
No log	8.0	160	0.7142	0.6462
No log	9.0	180	0.7329	0.6137
No log	10.0	200	0.7414	0.6137

Framework versions

Transformers 4.50.3
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1