distilbert-finetuned-imdb
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.0929
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: 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: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.3656 | 1.0 | 958 | 3.1578 |
| 3.2318 | 2.0 | 1916 | 3.1110 |
| 3.1892 | 3.0 | 2874 | 3.0940 |
Framework versions
- Transformers 4.50.3
- Pytorch 2.6.0
- Datasets 3.5.0
- Tokenizers 0.21.1
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Model tree for jmanuelc87/distilbert-finetuned-imdb
Base model
distilbert/distilbert-base-uncased