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_lrate2.5b8
+  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_lrate2.5b8
+
+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: 0.3532
+- Precisions: 0.7361
+- Recall: 0.7268
+- F-measure: 0.7205
+- Accuracy: 0.8949
+
+## 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: 2.5e-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  | 0.4408          | 0.8339     | 0.6741 | 0.6811    | 0.8655   |
+| 0.6468        | 2.0   | 942  | 0.3532          | 0.7361     | 0.7268 | 0.7205    | 0.8949   |
+| 0.3388        | 3.0   | 1413 | 0.3800          | 0.7827     | 0.7382 | 0.7417    | 0.8980   |
+| 0.2164        | 4.0   | 1884 | 0.4203          | 0.8306     | 0.7490 | 0.7675    | 0.9045   |
+| 0.149         | 5.0   | 2355 | 0.4617          | 0.7798     | 0.7546 | 0.7646    | 0.9010   |
+| 0.1022        | 6.0   | 2826 | 0.5331          | 0.8184     | 0.7557 | 0.7773    | 0.9051   |
+| 0.0704        | 7.0   | 3297 | 0.5074          | 0.8187     | 0.7759 | 0.7927    | 0.9123   |
+| 0.0524        | 8.0   | 3768 | 0.5290          | 0.8141     | 0.7704 | 0.7877    | 0.9092   |
+
+
+### 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 sha256:020292f97006ed2fe7cf0fa0c72a90afa33e92478f665056ed79979e62ff05eb
+oid sha256:1e0d9d89d5d24335142b1aac10b7a79e3f3b2c5e9155d019f8fd3dccbb4ff030
 size 464775913