left_padding10model
This model is a fine-tuned version of distilbert-base-uncased on the imdb dataset. It achieves the following results on the evaluation set:
- Accuracy: 0.9334
- Loss: 0.5739
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: 10
Training results
Training Loss | Epoch | Step | Accuracy | Validation Loss |
---|---|---|---|---|
0.1549 | 1.0 | 1563 | 0.9198 | 0.3020 |
0.0778 | 2.0 | 3126 | 0.9316 | 0.2819 |
0.0931 | 3.0 | 4689 | 0.9255 | 0.2931 |
0.0538 | 4.0 | 6252 | 0.9307 | 0.3606 |
0.0303 | 5.0 | 7815 | 0.9314 | 0.4229 |
0.0106 | 6.0 | 9378 | 0.9304 | 0.5013 |
0.0125 | 7.0 | 10941 | 0.9316 | 0.4994 |
0.0112 | 8.0 | 12504 | 0.9329 | 0.5481 |
0.0129 | 9.0 | 14067 | 0.9327 | 0.5440 |
0.0 | 10.0 | 15630 | 0.9334 | 0.5739 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.0.0+cu117
- Datasets 2.14.6
- Tokenizers 0.14.1
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Base model
distilbert/distilbert-base-uncased