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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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metrics: |
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- precision |
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- recall |
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- f1 |
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- accuracy |
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model-index: |
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- name: electra-base-ner-food-recipe |
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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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# electra-base-ner-food-recipe |
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This model is a fine-tuned version of [google/electra-base-discriminator](https://huggingface.co/google/electra-base-discriminator) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1889 |
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- Precision: 0.7866 |
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- Recall: 0.8144 |
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- F1: 0.8003 |
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- Accuracy: 0.9558 |
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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-06 |
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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: 15 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | |
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|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:| |
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| 0.0216 | 2.66 | 2121 | 0.1672 | 0.7858 | 0.8183 | 0.8017 | 0.9575 | |
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| 0.0237 | 5.33 | 4242 | 0.1744 | 0.7842 | 0.8122 | 0.7980 | 0.9564 | |
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| 0.0281 | 7.99 | 6363 | 0.1793 | 0.7812 | 0.8148 | 0.7976 | 0.9558 | |
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| 0.0236 | 10.66 | 8484 | 0.1863 | 0.7923 | 0.8148 | 0.8034 | 0.9567 | |
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| 0.0246 | 13.32 | 10605 | 0.1881 | 0.7871 | 0.8170 | 0.8018 | 0.9561 | |
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### Framework versions |
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- Transformers 4.27.4 |
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- Pytorch 2.0.0+cu118 |
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- Datasets 2.11.0 |
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- Tokenizers 0.13.3 |
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