bert-imdb – AI Model by ronalhung | AlphaNeural AI

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ronalhung/
bert-imdb

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text-classification

generated_from_trainer

google-bert/bert-base-cased

text-embeddings-inference

endpoints_compatible

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bert-imdb

This model is a fine-tuned version of google-bert/bert-base-cased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1959
Accuracy: 0.9435

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: 24
eval_batch_size: 24
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.2257	0.4997	833	0.2111	0.9197
0.1508	0.9994	1666	0.2188	0.9196
0.1766	1.4991	2499	0.2037	0.94
0.1602	1.9988	3332	0.1959	0.9435

Framework versions

Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2