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distilbert-base-uncased-finetuned-imdb – AI Model by Rushikesh | AlphaNeural AI
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Rushikesh
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distilbert-base-uncased-finetuned-imdb
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transformers
pytorch
tensorboard
distilbert
fill-mask
generated_from_trainer
imdb
apache-2.0
autotrain_compatible
endpoints_compatible
us
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distilbert-base-uncased-finetuned-imdb
This model is a fine-tuned version of
distilbert-base-uncased
on the imdb dataset. It achieves the following results on the evaluation set:
Loss: 2.6893
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: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
3.099
1.0
5
2.6076
2.7996
2.0
10
2.5412
2.7876
3.0
15
2.6641
Framework versions
Transformers 4.21.0
Pytorch 1.12.0+cu113
Datasets 2.4.0
Tokenizers 0.12.1
