bert-uncased-imdb-datacampstudy
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0 | 1.0 | 782 | 0.0 |
| 0.0 | 2.0 | 1564 | 0.0 |
| 0.0 | 3.0 | 2346 | 0.0 |
Framework versions
- Transformers 4.56.0
- Pytorch 2.7.1+cu128
- Datasets 4.0.0
- Tokenizers 0.22.0
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Model tree for namhpn/bert-uncased-imdb-datacampstudy
Base model
google-bert/bert-base-uncased