End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: cis-lmu/glot500-base
+tags:
+- generated_from_trainer
+datasets:
+- universal_dependencies
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: glot500_model_en_ewt
+  results:
+  - task:
+      name: Token Classification
+      type: token-classification
+    dataset:
+      name: universal_dependencies
+      type: universal_dependencies
+      config: en_ewt
+      split: test
+      args: en_ewt
+    metrics:
+    - name: Precision
+      type: precision
+      value: 0.9400958805311612
+    - name: Recall
+      type: recall
+      value: 0.9420542470878327
+    - name: F1
+      type: f1
+      value: 0.9410740449748372
+    - name: Accuracy
+      type: accuracy
+      value: 0.9483660387746274
+---
+
+<!-- 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. -->
+
+# glot500_model_en_ewt
+
+This model is a fine-tuned version of [cis-lmu/glot500-base](https://huggingface.co/cis-lmu/glot500-base) on the universal_dependencies dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2101
+- Precision: 0.9401
+- Recall: 0.9421
+- F1: 0.9411
+- Accuracy: 0.9484
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 1.0519        | 1.0   | 625  | 0.2891          | 0.9291    | 0.9298 | 0.9295 | 0.9396   |
+| 0.2366        | 2.0   | 1250 | 0.2101          | 0.9401    | 0.9421 | 0.9411 | 0.9484   |
+
+
+### Framework versions
+
+- Transformers 4.46.3
+- Pytorch 2.5.1
+- Datasets 3.1.0
+- Tokenizers 0.20.3