test-sentiment-analysis
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: 0.3067
- Accuracy: 0.9319
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 |
|---|---|---|---|---|
| 0.1341 | 1.0 | 1563 | 0.2795 | 0.9236 |
| 0.0664 | 2.0 | 3126 | 0.3067 | 0.9319 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
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Model tree for xszhou/test-sentiment-analysis
Base model
distilbert/distilbert-base-uncasedDataset used to train xszhou/test-sentiment-analysis
Evaluation results
- Accuracy on imdbtest set self-reported0.932