imdb-full-1.0
This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1900
- Accuracy: 0.9405
- F1: 0.9405
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: 80
- eval_batch_size: 80
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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 | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.204 | 1.0 | 313 | 0.1748 | 0.9344 | 0.9344 |
| 0.1273 | 2.0 | 626 | 0.1701 | 0.9371 | 0.9371 |
| 0.0811 | 3.0 | 939 | 0.1900 | 0.9405 | 0.9405 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.9.1+cu128
- Datasets 4.4.2
- Tokenizers 0.22.1
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Model tree for laodaImissU/imdb-full-1.0
Base model
google-bert/bert-base-uncased