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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-is
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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-is
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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: 0.8382
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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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| 1.334 | 1.0 | 961 | 1.1217 |
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| 1.1638 | 2.0 | 1922 | 1.0369 |
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| 1.0936 | 3.0 | 2883 | 0.9922 |
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| 1.0503 | 4.0 | 3844 | 0.9606 |
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| 1.0188 | 5.0 | 4805 | 0.9314 |
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| 0.9953 | 6.0 | 5766 | 0.9256 |
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| 0.9769 | 7.0 | 6727 | 0.9109 |
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| 0.9599 | 8.0 | 7688 | 0.8978 |
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| 0.9461 | 9.0 | 8649 | 0.8813 |
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| 0.9377 | 10.0 | 9610 | 0.8777 |
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| 0.9253 | 11.0 | 10571 | 0.8755 |
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| 0.918 | 12.0 | 11532 | 0.8601 |
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| 0.9112 | 13.0 | 12493 | 0.8541 |
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| 0.9043 | 14.0 | 13454 | 0.8548 |
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| 0.8984 | 15.0 | 14415 | 0.8470 |
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| 0.8958 | 16.0 | 15376 | 0.8412 |
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| 0.8914 | 17.0 | 16337 | 0.8345 |
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| 0.8882 | 18.0 | 17298 | 0.8353 |
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| 0.8871 | 19.0 | 18259 | 0.8344 |
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| 0.8839 | 20.0 | 19220 | 0.8382 |
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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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