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distilbert-base-uncased-finetuned-imdb – AI Model by apatidar0 | AlphaNeural AI
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apatidar0
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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: 2.4721
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
IMDB dataset for getting intuition on how to train an MLM model
Training procedure
You need to create the dataset in the exact format in which the model was trained by the author.
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
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
2.7086
1.0
157
2.4898
2.5796
2.0
314
2.4230
2.5269
3.0
471
2.4354
Framework versions
Transformers 4.26.0
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2