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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-upper-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-upper-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: 0.7757
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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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| 1.2455 | 1.0 | 1228 | 1.0420 |
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| 1.0812 | 2.0 | 2456 | 0.9641 |
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| 1.018 | 3.0 | 3684 | 0.9220 |
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| 0.977 | 4.0 | 4912 | 0.8943 |
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| 0.9451 | 5.0 | 6140 | 0.8726 |
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| 0.9254 | 6.0 | 7368 | 0.8574 |
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| 0.9074 | 7.0 | 8596 | 0.8404 |
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| 0.8944 | 8.0 | 9824 | 0.8290 |
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| 0.8797 | 9.0 | 11052 | 0.8258 |
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| 0.869 | 10.0 | 12280 | 0.8115 |
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| 0.8609 | 11.0 | 13508 | 0.8085 |
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| 0.8522 | 12.0 | 14736 | 0.7995 |
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| 0.8462 | 13.0 | 15964 | 0.7958 |
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| 0.8414 | 14.0 | 17192 | 0.7891 |
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| 0.8374 | 15.0 | 18420 | 0.7856 |
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| 0.8327 | 16.0 | 19648 | 0.7850 |
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| 0.8268 | 17.0 | 20876 | 0.7784 |
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| 0.8256 | 18.0 | 22104 | 0.7802 |
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| 0.822 | 19.0 | 23332 | 0.7789 |
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| 0.8219 | 20.0 | 24560 | 0.7757 |
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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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