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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: 1.1032 |
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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: 16 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:------:|:---------------:| |
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| 1.5135 | 1.0 | 39823 | 1.4635 | |
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| 1.454 | 2.0 | 79646 | 1.3753 | |
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| 1.3924 | 3.0 | 119469 | 1.3375 | |
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| 1.3379 | 4.0 | 159292 | 1.2886 | |
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| 1.2969 | 5.0 | 199115 | 1.2595 | |
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| 1.2495 | 6.0 | 238938 | nan | |
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| 1.1768 | 7.0 | 278761 | 1.2283 | |
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| 1.1687 | 8.0 | 318584 | 1.2109 | |
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| 1.2148 | 9.0 | 358407 | 1.1671 | |
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| 1.133 | 10.0 | 398230 | 1.1721 | |
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| 1.0882 | 11.0 | 438053 | 1.1624 | |
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| 1.0749 | 12.0 | 477876 | 1.1321 | |
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| 1.092 | 13.0 | 517699 | nan | |
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| 1.0594 | 14.0 | 557522 | 1.1186 | |
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| 1.0292 | 15.0 | 597345 | 1.1074 | |
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| 0.9973 | 16.0 | 637168 | 1.1032 | |
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### Framework versions |
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- Transformers 4.22.1 |
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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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