distilbert-finetuned-mlm-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: 2.4865
- Model Preparation Time: 0.0
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 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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time |
|---|---|---|---|---|
| 2.6804 | 1.0 | 157 | 2.4932 | 0.0 |
| 2.5832 | 2.0 | 314 | 2.4480 | 0.0 |
| 2.5255 | 3.0 | 471 | 2.4808 | 0.0 |
Framework versions
- Transformers 4.53.0
- Pytorch 2.7.1+cu118
- Datasets 3.6.0
- Tokenizers 0.21.2