distilbert-base-uncased_fine_tuned_
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6095
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
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 43 | 1.0244 |
| No log | 2.0 | 86 | 0.6642 |
| No log | 3.0 | 129 | 0.6095 |
Framework versions
- Transformers 4.27.3
- Pytorch 1.10.2
- Datasets 2.10.1
- Tokenizers 0.13.2