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-large-discriminator-ner-food-combined-weighted-v2
+  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-large-discriminator-ner-food-combined-weighted-v2
+
+This model is a fine-tuned version of [google/electra-large-discriminator](https://huggingface.co/google/electra-large-discriminator) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1185
+- Precision: 0.7681
+- Recall: 0.8893
+- F1: 0.8242
+- Accuracy: 0.9630
+
+## 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: 5e-06
+- train_batch_size: 16
+- eval_batch_size: 24
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.1326        | 1.12  | 500  | 0.1213          | 0.7978    | 0.8984 | 0.8451 | 0.9691   |
+| 0.1059        | 2.25  | 1000 | 0.1185          | 0.7681    | 0.8893 | 0.8242 | 0.9630   |
+| 0.1109        | 3.37  | 1500 | 0.1378          | 0.7766    | 0.8784 | 0.8244 | 0.9592   |
+| 0.0907        | 4.49  | 2000 | 0.1279          | 0.7791    | 0.8897 | 0.8307 | 0.9642   |
+| 0.0732        | 5.62  | 2500 | 0.1521          | 0.7933    | 0.8918 | 0.8397 | 0.9669   |
+
+
+### Framework versions
+
+- Transformers 4.27.4
+- Pytorch 2.0.0+cu118
+- Datasets 2.11.0
+- Tokenizers 0.13.3