finetuning-distilbert-movie-classification
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: 0.6338
- Accuracy: 0.9284
- F1: 0.9291
Model description
LAEBL_1 : Positive sentiment
LABEL_0: Negative sentiment
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: 10
Training results
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
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Dataset used to train geniusguy777/finetuning-distilbert-movie-classification
Evaluation results
- Accuracy on imdbtest set self-reported0.928
- F1 on imdbtest set self-reported0.929