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--- |
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license: other |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: distilroberta-current |
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results: [] |
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--- |
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# distilroberta-current |
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This model classifies articles as current (covering or discussing current events) or not current (not relating to current events). |
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The model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on a dataset of articles labeled using weak-supervision and manual labeling |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1745 |
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- Acc: 0.9355 |
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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: 8 |
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- eval_batch_size: 8 |
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- seed: 12345 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 32 |
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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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- lr_scheduler_warmup_steps: 16 |
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- num_epochs: 20 |
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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 | Acc | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| No log | 1.0 | 11 | 0.6559 | 0.7097 | |
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| 0.6762 | 2.0 | 22 | 0.5627 | 0.7097 | |
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| 0.5432 | 3.0 | 33 | 0.4606 | 0.7097 | |
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| 0.5432 | 4.0 | 44 | 0.3651 | 0.8065 | |
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| 0.411 | 5.0 | 55 | 0.2512 | 0.9194 | |
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| 0.269 | 6.0 | 66 | 0.2774 | 0.9355 | |
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| 0.269 | 7.0 | 77 | 0.2062 | 0.8710 | |
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| 0.2294 | 8.0 | 88 | 0.2598 | 0.9355 | |
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| 0.1761 | 9.0 | 99 | 0.1745 | 0.9355 | |
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### Framework versions |
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- Transformers 4.11.3 |
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- Pytorch 1.10.1 |
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- Datasets 1.17.0 |
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- Tokenizers 0.10.3 |
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