metadata
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilbert-base-uncased
results: []
datasets:
- imdb
pipeline_tag: text-classification
distilbert-base-uncased
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2250
- Accuracy: 0.9322
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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.2256 | 1.0 | 1563 | 0.2599 | 0.9039 |
| 0.1528 | 2.0 | 3126 | 0.2250 | 0.9322 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1