update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- recall
+- precision
+- f1
+model-index:
+- name: NL_BERT_michelin_finetuned
+  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. -->
+
+# NL_BERT_michelin_finetuned
+
+This model is a fine-tuned version of [GroNLP/bert-base-dutch-cased](https://huggingface.co/GroNLP/bert-base-dutch-cased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2675
+- Accuracy: 0.968
+- Recall: 0.1562
+- Precision: 0.5
+- F1: 0.2381
+- Mse: 0.032
+
+## 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-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 | Accuracy | Recall | Precision | F1     | Mse   |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|:-----:|
+| 0.1078        | 1.0   | 125  | 0.2461          | 0.969    | 0.0312 | 1.0       | 0.0606 | 0.031 |
+| 0.0258        | 2.0   | 250  | 0.2353          | 0.969    | 0.2188 | 0.5385    | 0.3111 | 0.031 |
+| 0.0011        | 3.0   | 375  | 0.2675          | 0.968    | 0.1562 | 0.5       | 0.2381 | 0.032 |
+
+
+### Framework versions
+
+- Transformers 4.18.0
+- Pytorch 1.11.0+cu113
+- Datasets 2.1.0
+- Tokenizers 0.12.1