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--- |
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license: apache-2.0 |
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base_model: bert-base-uncased |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: bert-base-uncased-dietdupe-foodb-desc |
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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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# bert-base-uncased-dietdupe-foodb-desc |
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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: 1.6188 |
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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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| No log | 1.0 | 124 | 1.6109 | |
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| No log | 2.0 | 248 | 1.6449 | |
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| No log | 3.0 | 372 | 1.7693 | |
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| No log | 4.0 | 496 | 1.7404 | |
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| 1.8504 | 5.0 | 620 | 1.6661 | |
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| 1.8504 | 6.0 | 744 | 1.5235 | |
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| 1.8504 | 7.0 | 868 | 1.5884 | |
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| 1.8504 | 8.0 | 992 | 1.6669 | |
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| 1.6616 | 9.0 | 1116 | 1.4289 | |
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| 1.6616 | 10.0 | 1240 | 1.6314 | |
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### Framework versions |
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- Transformers 4.35.0 |
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- Pytorch 2.0.0 |
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- Datasets 2.1.0 |
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- Tokenizers 0.14.1 |
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