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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: roberta-base-coffee20230108
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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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# roberta-base-coffee20230108
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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: 4.4032
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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: 5e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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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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- lr_scheduler_warmup_steps: 500
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- num_epochs: 15
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 89 | 4.5615 |
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| 5.5192 | 2.0 | 178 | 2.8434 |
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| 3.2266 | 3.0 | 267 | 2.2547 |
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| 2.1833 | 4.0 | 356 | 2.3272 |
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| 1.5483 | 5.0 | 445 | 2.3703 |
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| 1.148 | 6.0 | 534 | 2.4088 |
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| 1.0413 | 7.0 | 623 | 2.6734 |
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| 0.6844 | 8.0 | 712 | 2.7058 |
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| 0.5396 | 9.0 | 801 | 2.9746 |
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| 0.5396 | 10.0 | 890 | 3.6085 |
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| 0.3883 | 11.0 | 979 | 3.4980 |
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| 0.2854 | 12.0 | 1068 | 4.0556 |
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| 0.2021 | 13.0 | 1157 | 4.1024 |
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| 0.1797 | 14.0 | 1246 | 4.2926 |
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| 0.1425 | 15.0 | 1335 | 4.4032 |
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### Framework versions
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- Transformers 4.25.1
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- Pytorch 1.11.0+cu113
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- Datasets 2.8.0
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- Tokenizers 0.13.2
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