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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: roberta-base-culinary |
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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-culinary |
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.2586 |
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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: 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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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:------:|:---------------:| |
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| 1.7143 | 1.0 | 22655 | 1.5815 | |
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| 1.5183 | 2.0 | 45310 | 1.5212 | |
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| 1.4607 | 3.0 | 67965 | 1.4339 | |
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| 1.397 | 4.0 | 90620 | 1.3838 | |
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| 1.4282 | 5.0 | 113275 | 1.3366 | |
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| 1.2718 | 6.0 | 135930 | 1.3315 | |
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| 1.2505 | 7.0 | 158585 | 1.2756 | |
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| 1.2611 | 8.0 | 181240 | 1.2684 | |
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| 1.1754 | 9.0 | 203895 | 1.2461 | |
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| 1.1871 | 10.0 | 226550 | 1.2586 | |
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### Framework versions |
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- Transformers 4.22.0 |
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- Pytorch 1.12.1+cu113 |
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- Datasets 2.4.0 |
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- Tokenizers 0.12.1 |
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