update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: electra-base-ner-food-recipe
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# electra-base-ner-food-recipe
+
+This model is a fine-tuned version of [google/electra-base-discriminator](https://huggingface.co/google/electra-base-discriminator) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1889
+- Precision: 0.7866
+- Recall: 0.8144
+- F1: 0.8003
+- Accuracy: 0.9558
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-06
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 15
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.0216        | 2.66  | 2121  | 0.1672          | 0.7858    | 0.8183 | 0.8017 | 0.9575   |
+| 0.0237        | 5.33  | 4242  | 0.1744          | 0.7842    | 0.8122 | 0.7980 | 0.9564   |
+| 0.0281        | 7.99  | 6363  | 0.1793          | 0.7812    | 0.8148 | 0.7976 | 0.9558   |
+| 0.0236        | 10.66 | 8484  | 0.1863          | 0.7923    | 0.8148 | 0.8034 | 0.9567   |
+| 0.0246        | 13.32 | 10605 | 0.1881          | 0.7871    | 0.8170 | 0.8018 | 0.9561   |
+
+
+### Framework versions
+
+- Transformers 4.27.4
+- Pytorch 2.0.0+cu118
+- Datasets 2.11.0
+- Tokenizers 0.13.3