End of training

README.md

@@ -0,0 +1,71 @@
+---
+license: mit
+base_model: pdelobelle/robbert-v2-dutch-base
+tags:
+- generated_from_trainer
+metrics:
+- recall
+- accuracy
+model-index:
+- name: robbert0210_lrate5b8
+  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. -->
+
+# robbert0210_lrate5b8
+
+This model is a fine-tuned version of [pdelobelle/robbert-v2-dutch-base](https://huggingface.co/pdelobelle/robbert-v2-dutch-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3595
+- Precisions: 0.8049
+- Recall: 0.7503
+- F-measure: 0.7661
+- Accuracy: 0.8987
+
+## 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: 8
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precisions | Recall | F-measure | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:----------:|:------:|:---------:|:--------:|
+| No log        | 1.0   | 471  | 0.4152          | 0.8420     | 0.6873 | 0.6895    | 0.8762   |
+| 0.6244        | 2.0   | 942  | 0.3595          | 0.8049     | 0.7503 | 0.7661    | 0.8987   |
+| 0.3086        | 3.0   | 1413 | 0.3926          | 0.8113     | 0.7757 | 0.7838    | 0.9110   |
+| 0.1676        | 4.0   | 1884 | 0.4826          | 0.7805     | 0.7526 | 0.7628    | 0.9025   |
+| 0.1044        | 5.0   | 2355 | 0.5530          | 0.8001     | 0.7627 | 0.7769    | 0.9028   |
+| 0.0571        | 6.0   | 2826 | 0.5910          | 0.7945     | 0.7661 | 0.7765    | 0.9103   |
+| 0.0321        | 7.0   | 3297 | 0.6168          | 0.8251     | 0.7733 | 0.7899    | 0.9124   |
+| 0.0234        | 8.0   | 3768 | 0.6218          | 0.8108     | 0.7748 | 0.7881    | 0.9116   |
+
+
+### Framework versions
+
+- Transformers 4.33.3
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.5
+- Tokenizers 0.13.3

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1872439f38fff5db3a3073774b9f4703a0f9dd6fa18ce017ceb8ff01a2200fb8
+oid sha256:493e02754851323693a6f6c132641c64237b3b44d4c6751b278e71d46fa082a3
 size 464775913