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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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model-index:
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- name: distilroberta-propaganda-2class
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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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# distilroberta-propaganda-2class
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This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5087
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- Acc: 0.7424
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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: 5e-05
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- train_batch_size: 32
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- eval_batch_size: 32
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- seed: 12345
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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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| 0.5737 | 1.0 | 493 | 0.5998 | 0.6515 |
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| 0.4954 | 2.0 | 986 | 0.5530 | 0.7080 |
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| 0.4774 | 3.0 | 1479 | 0.5331 | 0.7258 |
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| 0.4846 | 4.0 | 1972 | 0.5247 | 0.7339 |
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| 0.4749 | 5.0 | 2465 | 0.5392 | 0.7199 |
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| 0.502 | 6.0 | 2958 | 0.5124 | 0.7466 |
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| 0.457 | 7.0 | 3451 | 0.5167 | 0.7432 |
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| 0.4899 | 8.0 | 3944 | 0.5160 | 0.7428 |
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| 0.4833 | 9.0 | 4437 | 0.5280 | 0.7339 |
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| 0.5114 | 10.0 | 4930 | 0.5112 | 0.7436 |
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| 0.4419 | 11.0 | 5423 | 0.5060 | 0.7525 |
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| 0.4743 | 12.0 | 5916 | 0.5031 | 0.7547 |
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| 0.4597 | 13.0 | 6409 | 0.5043 | 0.7517 |
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| 0.4861 | 14.0 | 6902 | 0.5055 | 0.7487 |
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| 0.499 | 15.0 | 7395 | 0.5091 | 0.7419 |
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| 0.501 | 16.0 | 7888 | 0.5037 | 0.7521 |
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| 0.4659 | 17.0 | 8381 | 0.5087 | 0.7424 |
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### Framework versions
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- Transformers 4.11.2
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- Pytorch 1.7.1
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- Datasets 1.11.0
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- Tokenizers 0.10.3
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