gzipbert_imdb_rpe_250k
This model is a fine-tuned version of versae/gzip-bert on the imdb dataset. It achieves the following results on the evaluation set:
- Loss: 6.0866
- Accuracy: 0.5095
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-06
- 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.003 | 1.0 | 1563 | 5.1727 | 0.5548 |
| 0.0061 | 2.0 | 3126 | 5.7975 | 0.5176 |
| 0.0056 | 3.0 | 4689 | 5.6762 | 0.5107 |
| 0.0019 | 4.0 | 6252 | 6.0355 | 0.5082 |
| 0.0043 | 5.0 | 7815 | 6.0866 | 0.5095 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.0
- Tokenizers 0.13.3
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Base model
versae/gzip-bert