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albert-base-v2-imdb-calssification – AI Model by XSY | AlphaNeural AI
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XSY
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albert-base-v2-imdb-calssification
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transformers
pytorch
albert
text-classification
generated_from_trainer
imdb
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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albert-base-v2-imdb-calssification
label_0: negative label_1: positive
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: 0.1983
Accuracy: 0.9361
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: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.26
1.0
1563
0.1983
0.9361
Framework versions
Transformers 4.12.3
Pytorch 1.10.0+cu111
Datasets 1.15.1
Tokenizers 0.10.3
