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_lrate5b4
+  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_lrate5b4
+
+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: 0.3947
+- Precisions: 0.7931
+- Recall: 0.7419
+- F-measure: 0.7620
+- Accuracy: 0.8995
+
+## 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: 4
+- eval_batch_size: 4
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:----------:|:------:|:---------:|:--------:|
+| 0.71          | 1.0   | 942  | 0.4675          | 0.8146     | 0.6895 | 0.6795    | 0.8713   |
+| 0.3587        | 2.0   | 1884 | 0.3947          | 0.7931     | 0.7419 | 0.7620    | 0.8995   |
+| 0.2221        | 3.0   | 2826 | 0.5259          | 0.7885     | 0.7682 | 0.7650    | 0.9021   |
+| 0.1455        | 4.0   | 3768 | 0.5330          | 0.8071     | 0.7500 | 0.7698    | 0.9051   |
+| 0.0775        | 5.0   | 4710 | 0.5904          | 0.7773     | 0.7806 | 0.7768    | 0.9035   |
+| 0.0465        | 6.0   | 5652 | 0.6671          | 0.8375     | 0.7689 | 0.7890    | 0.9038   |
+| 0.0329        | 7.0   | 6594 | 0.6634          | 0.8002     | 0.7764 | 0.7864    | 0.9073   |
+| 0.0245        | 8.0   | 7536 | 0.6707          | 0.8325     | 0.7928 | 0.8087    | 0.9118   |
+
+
+### 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 sha256:65e5a99e205f02f798bdc3583ba4439aa1bee0088ce2459c27cbc645b45f1776
+oid sha256:97315a8711c7c99888c54a9d043dc73639639a1e2ae7a43137dea809d240ccec
 size 464775913