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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-proppy
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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-proppy
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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: 0.1838
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- Acc: 0.9269
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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: 0.0001
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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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| 0.3179 | 1.0 | 732 | 0.2032 | 0.9146 |
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| 0.2933 | 2.0 | 1464 | 0.2026 | 0.9206 |
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| 0.2938 | 3.0 | 2196 | 0.1849 | 0.9252 |
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| 0.3429 | 4.0 | 2928 | 0.1983 | 0.9221 |
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| 0.2608 | 5.0 | 3660 | 0.2310 | 0.9106 |
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| 0.2562 | 6.0 | 4392 | 0.1826 | 0.9270 |
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| 0.2785 | 7.0 | 5124 | 0.1954 | 0.9228 |
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| 0.307 | 8.0 | 5856 | 0.2056 | 0.9200 |
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| 0.28 | 9.0 | 6588 | 0.1843 | 0.9259 |
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| 0.2794 | 10.0 | 7320 | 0.1782 | 0.9299 |
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| 0.2868 | 11.0 | 8052 | 0.1907 | 0.9242 |
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| 0.2789 | 12.0 | 8784 | 0.2031 | 0.9216 |
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| 0.2827 | 13.0 | 9516 | 0.1976 | 0.9229 |
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| 0.2795 | 14.0 | 10248 | 0.1866 | 0.9255 |
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| 0.2895 | 15.0 | 10980 | 0.1838 | 0.9269 |
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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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