metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: media-bias-ukraine-dataset-all-minus-ukraine-removed
results: []
media-bias-ukraine-dataset-all-minus-ukraine-removed
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: 2.9273
- F1: 0.2174
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.0857 | 1.0 | 138 | 2.3587 | 0.1003 |
| 0.003 | 2.0 | 276 | 2.6847 | 0.0840 |
| 0.0167 | 3.0 | 414 | 2.8767 | 0.1619 |
| 0.0022 | 4.0 | 552 | 2.3012 | 0.1862 |
| 0.0019 | 5.0 | 690 | 2.7714 | 0.1961 |
| 0.001 | 6.0 | 828 | 2.7623 | 0.2015 |
| 0.6706 | 7.0 | 966 | 2.8243 | 0.1980 |
| 0.2259 | 8.0 | 1104 | 2.7106 | 0.2151 |
| 0.0013 | 9.0 | 1242 | 2.9273 | 0.2174 |
| 0.0116 | 10.0 | 1380 | 2.9458 | 0.2101 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1
- Datasets 2.10.1
- Tokenizers 0.13.2