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README.md
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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-mbfc-bias
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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-mbfc-bias
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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: 1.4130
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- Acc: 0.6348
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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: 3e-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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| 0.9493 | 1.0 | 514 | 1.2765 | 0.4730 |
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| 0.7376 | 2.0 | 1028 | 1.0003 | 0.5812 |
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| 0.6702 | 3.0 | 1542 | 1.1294 | 0.5631 |
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| 0.6161 | 4.0 | 2056 | 1.0439 | 0.6058 |
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| 0.4934 | 5.0 | 2570 | 1.1196 | 0.6028 |
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| 0.4558 | 6.0 | 3084 | 1.0993 | 0.5977 |
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| 0.4717 | 7.0 | 3598 | 1.0308 | 0.6373 |
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| 0.3961 | 8.0 | 4112 | 1.1291 | 0.6234 |
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| 0.3829 | 9.0 | 4626 | 1.1554 | 0.6316 |
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| 0.3442 | 10.0 | 5140 | 1.1548 | 0.6465 |
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| 0.2505 | 11.0 | 5654 | 1.3605 | 0.6169 |
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| 0.2105 | 12.0 | 6168 | 1.3310 | 0.6297 |
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| 0.262 | 13.0 | 6682 | 1.2706 | 0.6383 |
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| 0.2031 | 14.0 | 7196 | 1.3658 | 0.6378 |
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| 0.2021 | 15.0 | 7710 | 1.4130 | 0.6348 |
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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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