End of training

README.md

@@ -0,0 +1,70 @@
+---
+base_model: Tommert25/robbert2909_lrate7.5
+tags:
+- generated_from_trainer
+metrics:
+- recall
+- accuracy
+model-index:
+- name: robbert0210_lrate2.5
+  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_lrate2.5
+
+This model is a fine-tuned version of [Tommert25/robbert2909_lrate7.5](https://huggingface.co/Tommert25/robbert2909_lrate7.5) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6768
+- Precisions: 0.8111
+- Recall: 0.7885
+- F-measure: 0.7986
+- Accuracy: 0.9113
+
+## 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: 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 |
+|:-------------:|:-----:|:----:|:---------------:|:----------:|:------:|:---------:|:--------:|
+| 0.054         | 1.0   | 942  | 0.6914          | 0.8256     | 0.7674 | 0.7846    | 0.9065   |
+| 0.0568        | 2.0   | 1884 | 0.7397          | 0.8402     | 0.7902 | 0.8075    | 0.9099   |
+| 0.0423        | 3.0   | 2826 | 0.6768          | 0.8111     | 0.7885 | 0.7986    | 0.9113   |
+| 0.0293        | 4.0   | 3768 | 0.7276          | 0.8138     | 0.7879 | 0.7997    | 0.9142   |
+| 0.0195        | 5.0   | 4710 | 0.7553          | 0.8036     | 0.7902 | 0.7951    | 0.9109   |
+| 0.0129        | 6.0   | 5652 | 0.7606          | 0.8061     | 0.7962 | 0.7999    | 0.9100   |
+| 0.0051        | 7.0   | 6594 | 0.7815          | 0.8039     | 0.7993 | 0.7996    | 0.9109   |
+| 0.0104        | 8.0   | 7536 | 0.7743          | 0.8077     | 0.7986 | 0.8016    | 0.9121   |
+
+
+### 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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tokenizer.json

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     "strategy": "LongestFirst",
     "stride": 0
   },
-  "padding": null,
+  "padding": {
+    "strategy": "BatchLongest",
+    "direction": "Right",
+    "pad_to_multiple_of": null,
+    "pad_id": 1,
+    "pad_type_id": 0,
+    "pad_token": "<pad>"
+  },
   "added_tokens": [
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