bert-finetuned-imdb-sentiment
This model is a fine-tuned version of bert-base-uncased on an imdb dataset. It achieves the following results on the evaluation set:
- Loss: 0.3405
- F1: 0.9171
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
Training Loss | Epoch | Step | Validation Loss | F1 |
---|---|---|---|---|
0.2966 | 1.0 | 3125 | 0.2795 | 0.8854 |
0.1681 | 2.0 | 6250 | 0.2801 | 0.9118 |
0.0724 | 3.0 | 9375 | 0.3405 | 0.9171 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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