bert-nlp-project-ft-imdb
This model is a fine-tuned version of jestemleon/bert-nlp-project-imdb on the steciuk/imdb dataset. It achieves the following results on the evaluation set:
- Loss: 0.2429
- Accuracy: 0.9477
- F1: 0.9468
and flowing results on the testing set:
- Accuracy: 0.9467
- F1: 0.9480
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: 3
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
---|---|---|---|---|---|
0.2603 | 0.38 | 750 | 0.1922 | 0.9293 | 0.9293 |
0.2021 | 0.75 | 1500 | 0.1633 | 0.9463 | 0.9446 |
0.1706 | 1.12 | 2250 | 0.1957 | 0.944 | 0.9425 |
0.1195 | 1.5 | 3000 | 0.2054 | 0.9455 | 0.9452 |
0.1106 | 1.88 | 3750 | 0.2417 | 0.9383 | 0.9391 |
0.0747 | 2.25 | 4500 | 0.2562 | 0.945 | 0.9441 |
0.0566 | 2.62 | 5250 | 0.2544 | 0.946 | 0.9443 |
0.0511 | 3.0 | 6000 | 0.2429 | 0.9477 | 0.9468 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2
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