End of training

README.md

@@ -1,3 +1,62 @@
 ---
-license: apache-2.0
+license: mit
+base_model: xlm-roberta-large
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: danish-intent-classifier
+  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. -->
+
+# danish-intent-classifier
+
+This model is a fine-tuned version of [xlm-roberta-large](https://huggingface.co/xlm-roberta-large) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2069
+- Accuracy: 0.9634
+
+## 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: 2e-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: 3
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.281         | 1.0   | 8646  | 0.2741          | 0.9476   |
+| 0.1852        | 2.0   | 17292 | 0.2266          | 0.9579   |
+| 0.1469        | 3.0   | 25938 | 0.2069          | 0.9634   |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.1

runs/Jan31_07-19-21_4183fa3d19bf/events.out.tfevents.1706685562.4183fa3d19bf.1058.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0a6973e2ec085ede38c1382fba828de7b89c4bcfde60260986b7c9ca199a7726
-size 13702
+oid sha256:3514acf8f91a44599975c9bcf6da8f76f9536e4d0dac61c3259e741f03d97c24
+size 14062