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---
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license: mit
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tags:
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- generated_from_trainer
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model-index:
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- name: recipe-roberta-s
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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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# recipe-roberta-s
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8870
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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: 256
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- eval_batch_size: 256
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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: 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 |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 1.3387 | 1.0 | 820 | 1.1529 |
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| 1.187 | 2.0 | 1640 | 1.0643 |
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| 1.1213 | 3.0 | 2460 | 1.0371 |
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| 1.0859 | 4.0 | 3280 | 1.0000 |
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| 1.0566 | 5.0 | 4100 | 0.9798 |
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| 1.0338 | 6.0 | 4920 | 0.9637 |
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| 1.0162 | 7.0 | 5740 | 0.9538 |
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| 1.0003 | 8.0 | 6560 | 0.9332 |
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| 0.9878 | 9.0 | 7380 | 0.9252 |
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| 0.9767 | 10.0 | 8200 | 0.9189 |
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| 0.9664 | 11.0 | 9020 | 0.9145 |
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| 0.9627 | 12.0 | 9840 | 0.9065 |
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| 0.9539 | 13.0 | 10660 | 0.9027 |
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| 0.9461 | 14.0 | 11480 | 0.9029 |
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| 0.9435 | 15.0 | 12300 | 0.8949 |
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| 0.9404 | 16.0 | 13120 | 0.8924 |
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| 0.9359 | 17.0 | 13940 | 0.8874 |
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| 0.9307 | 18.0 | 14760 | 0.8842 |
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| 0.9295 | 19.0 | 15580 | 0.8853 |
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| 0.9263 | 20.0 | 16400 | 0.8870 |
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### Framework versions
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- Transformers 4.19.0.dev0
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- Pytorch 1.11.0+cu102
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- Datasets 2.3.2
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- Tokenizers 0.12.1
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