distilbert-base-uncased-imdb

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distilbert-base-uncased-imdb

This model is a fine-tuned version of distilbert-base-uncased on an imdb dataset where an evaluation of 5000 samples was created by splitting the training set. It achieves the following results on the evaluation set:

• Loss: 0.6252
• Accuracy: 0.9214

Model description

More information needed

Intended uses & limitations

This model was trained for the introduction to Natural language processing course of EPITA.

Training and evaluation data

The training/evaluation split was generated using a seed of 42 and a test_size of 0.2.

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 5e-05
• train_batch_size: 32
• eval_batch_size: 128
• seed: 1337
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Framework versions

• Transformers 4.20.1
• Pytorch 1.11.0+cu113
• Datasets 2.3.2
• Tokenizers 0.12.1