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distilbert-base-uncased-finetuned-imdb – AI Model by lsimon | AlphaNeural AI
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lsimon
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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: 2.4411
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: 3.0
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
2.7193
1.0
313
2.4903
2.5804
2.0
626
2.4569
2.5498
3.0
939
2.4574
Framework versions
Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3
