update model card README.md

README.md

@@ -0,0 +1,65 @@
+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- recall
+model-index:
+- name: requirements_ambiguity_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. -->
+
+# requirements_ambiguity_v2
+
+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: 0.8136
+- Accuracy: 0.8189
+- F1: 0.8189
+- Recall: 0.7604
+
+## 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: 0.0001
+- train_batch_size: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Recall |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|
+| 0.5247        | 1.0   | 32   | 0.4726          | 0.8110   | 0.8092 | 0.7083 |
+| 0.2684        | 2.0   | 64   | 0.5090          | 0.7874   | 0.7897 | 0.7917 |
+| 0.1319        | 3.0   | 96   | 0.7653          | 0.8031   | 0.8027 | 0.7292 |
+| 0.035         | 4.0   | 128  | 0.8136          | 0.8189   | 0.8189 | 0.7604 |
+
+
+### Framework versions
+
+- Transformers 4.24.0
+- Pytorch 2.0.0
+- Datasets 2.9.0
+- Tokenizers 0.11.0