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gzipbert_imdb_rpe – AI Model by versae | AlphaNeural AI
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versae
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gzipbert_imdb_rpe
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transformers
pytorch
tensorboard
safetensors
roformer
text-classification
generated_from_trainer
imdb
versae/gzip-bert
finetune
openrail
model-index
autotrain_compatible
endpoints_compatible
us
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gzipbert_imdb_rpe
This model is a fine-tuned version of
versae/gzip-bert
on the imdb dataset. It achieves the following results on the evaluation set:
Loss: 0.6932
Accuracy: 0.5
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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.6993
1.0
1563
0.6932
0.5
0.6964
2.0
3126
0.6959
0.5
0.6948
3.0
4689
0.6933
0.5
0.6949
4.0
6252
0.6937
0.5
0.6944
5.0
7815
0.6932
0.5
Framework versions
Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3
