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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- f1 |
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base_model: distilbert-base-uncased |
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model-index: |
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- name: media-bias-ukraine-dataset-all-minus-ukraine-masked |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# media-bias-ukraine-dataset-all-minus-ukraine-masked |
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.1320 |
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- F1: 0.1873 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 10 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| 0.4073 | 1.0 | 138 | 2.2614 | 0.1325 | |
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| 0.0399 | 2.0 | 276 | 2.0816 | 0.1332 | |
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| 0.2509 | 3.0 | 414 | 2.8722 | 0.1637 | |
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| 0.0338 | 4.0 | 552 | 3.1320 | 0.1873 | |
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| 0.0056 | 5.0 | 690 | 3.5202 | 0.1682 | |
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| 0.0064 | 6.0 | 828 | 3.4360 | 0.1696 | |
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| 0.0011 | 7.0 | 966 | 3.4185 | 0.1714 | |
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| 0.0023 | 8.0 | 1104 | 3.4920 | 0.1694 | |
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| 0.0011 | 9.0 | 1242 | 3.6794 | 0.1722 | |
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| 0.0018 | 10.0 | 1380 | 3.6641 | 0.1702 | |
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### Framework versions |
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- Transformers 4.26.1 |
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- Pytorch 1.13.1 |
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- Datasets 2.10.1 |
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- Tokenizers 0.13.2 |
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