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albert-imdb – AI Model by ronalhung | AlphaNeural AI
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ronalhung
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albert-imdb
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transformers
tensorboard
safetensors
albert
text-classification
generated_from_trainer
albert/albert-base-v2
finetune
apache-2.0
endpoints_compatible
us
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albert-imdb
This model is a fine-tuned version of
albert/albert-base-v2
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1801
Accuracy: 0.9488
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
0.2322
0.4997
833
0.1948
0.9306
0.1189
0.9994
1666
0.2103
0.9341
0.1868
1.4991
2499
0.1806
0.9437
0.1485
1.9988
3332
0.1801
0.9488
Framework versions
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
