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albert-imdb – AI Model by JeffreyJIANG | AlphaNeural AI
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JeffreyJIANG
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albert-imdb
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transformers
tensorboard
safetensors
albert
text-classification
generated_from_trainer
imdb
albert/albert-base-v2
finetune
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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albert-imdb
This model is a fine-tuned version of
albert-base-v2
on the imdb dataset. It achieves the following results on the evaluation set:
Loss: 0.1571
Accuracy: 0.9482
F1: 0.9482
Precision: 0.9482
Recall: 0.9482
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: 16
eval_batch_size: 16
seed: 9072
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
Precision
Recall
0.3213
1.0
1563
0.2683
0.8922
0.8921
0.8930
0.8922
0.2211
2.0
3126
0.2559
0.9082
0.9082
0.9082
0.9082
Framework versions
Transformers 4.38.2
Pytorch 2.1.2
Datasets 2.1.0
Tokenizers 0.15.2
