metadata
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: imdb-spoiler-distilbert
results: []
widget:
- text: >-
This was a masterpiece. Not completely faithful to the books, but
enthralling from beginning to end. Might be my favorite of the three.
imdb-spoiler-distilbert
This model is a fine-tuned version of distilbert-base-uncased on the imdb-spoiler dataset for classification. imdb-spoiler is a subset of a large-dataset for classifying whether a movie review is a spoiler or not.
It achieves the following results on the evaluation set:
- Accuracy: 0.7794
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: 1
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
0.5139 | 0.35 | 500 | 0.4960 | 0.7761 |
0.4732 | 0.7 | 1000 | 0.4822 | 0.7794 |
Framework versions
- Transformers 4.39.2
- Pytorch 2.2.2+cpu
- Datasets 2.18.0
- Tokenizers 0.15.2