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distilbert-base-uncased-finetuned-imdb – AI Model by Shebna | AlphaNeural AI

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Shebna/
distilbert-base-uncased-finetuned-imdb

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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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:

eval_loss: 0.3049
eval_accuracy: 0.9252
eval_runtime: 423.5074
eval_samples_per_second: 59.031
eval_steps_per_second: 1.846
epoch: 1.35
step: 1054

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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Framework versions

Transformers 4.23.1
Pytorch 1.12.1+cu113
Datasets 2.6.0
Tokenizers 0.13.1