update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: bert-finetuned-ner_swedish_small_set_health_and_prices
+  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. -->
+
+# bert-finetuned-ner_swedish_small_set_health_and_prices
+
+This model is a fine-tuned version of [KBLab/bert-base-swedish-cased-ner](https://huggingface.co/KBLab/bert-base-swedish-cased-ner) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0942
+- Precision: 0.7709
+- Recall: 0.8118
+- F1: 0.7908
+- Accuracy: 0.9741
+
+## 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-05
+- 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: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 1.0   | 250  | 0.1310          | 0.6116    | 0.7471 | 0.6726 | 0.9578   |
+| 0.1583        | 2.0   | 500  | 0.0939          | 0.7560    | 0.8020 | 0.7783 | 0.9737   |
+| 0.1583        | 3.0   | 750  | 0.0942          | 0.7709    | 0.8118 | 0.7908 | 0.9741   |
+
+
+### Framework versions
+
+- Transformers 4.19.3
+- Pytorch 1.7.1
+- Datasets 2.2.2
+- Tokenizers 0.12.1