distilbert-base-uncased-finetuned-imdb
This model is a fine-tuned version of distilbert-base-uncased on a Discord message dataset. It achieves the following results on the evaluation set:
- Loss: 3.1929
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.6913 | 1.0 | 1250 | 3.3493 |
| 3.3579 | 2.0 | 2500 | 3.2152 |
| 3.2827 | 3.0 | 3750 | 3.1988 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2