End of training

README.md

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+---
+license: mit
+base_model: pdelobelle/robbert-v2-dutch-base
+tags:
+- generated_from_trainer
+metrics:
+- recall
+- accuracy
+model-index:
+- name: robbert0210_lrate5b32
+  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_lrate5b32
+
+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: 0.3497
+- Precisions: 0.8168
+- Recall: 0.7629
+- F-measure: 0.7745
+- Accuracy: 0.9044
+
+## 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: 32
+- eval_batch_size: 32
+- 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   | 118  | 0.4100          | 0.8801     | 0.6728 | 0.6931    | 0.8747   |
+| No log        | 2.0   | 236  | 0.3638          | 0.7841     | 0.7186 | 0.7176    | 0.8871   |
+| No log        | 3.0   | 354  | 0.3533          | 0.8013     | 0.7568 | 0.7535    | 0.8967   |
+| No log        | 4.0   | 472  | 0.3497          | 0.8168     | 0.7629 | 0.7745    | 0.9044   |
+| 0.3409        | 5.0   | 590  | 0.3781          | 0.7928     | 0.7789 | 0.7814    | 0.9046   |
+| 0.3409        | 6.0   | 708  | 0.4072          | 0.8013     | 0.7836 | 0.7884    | 0.9073   |
+| 0.3409        | 7.0   | 826  | 0.4193          | 0.8047     | 0.8026 | 0.8012    | 0.9082   |
+| 0.3409        | 8.0   | 944  | 0.4197          | 0.8121     | 0.8021 | 0.8049    | 0.9103   |
+
+
+### Framework versions
+
+- Transformers 4.33.3
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.5
+- Tokenizers 0.13.3

pytorch_model.bin

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