update README

README.md

@@ -1,12 +1,89 @@
 ---
-title: Slovakbert Upos
-emoji: 🌍
-colorFrom: blue
-colorTo: pink
-sdk: gradio
-app_file: app.py
-pinned: false
 license: mit
+tags:
+- generated_from_trainer
+datasets:
+- universal_dependencies
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: slovakbert-upos
+  results:
+  - task:
+      name: Token Classification
+      type: token-classification
+    dataset:
+      name: universal_dependencies sk_snk
+      type: universal_dependencies
+      args: sk_snk
+    metrics:
+    - name: Precision
+      type: precision
+      value: 0.9802269601100413
+    - name: Recall
+      type: recall
+      value: 0.9825922095829025
+    - name: F1
+      type: f1
+      value: 0.9814081597521088
+    - name: Accuracy
+      type: accuracy
+      value: 0.9830562916566289
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces#reference
+<!-- 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. -->
+
+# slovakbert-upos
+
+This model is a fine-tuned version of [gerulata/slovakbert](https://huggingface.co/gerulata/slovakbert) on the universal_dependencies sk_snk dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0936
+- Precision: 0.9802
+- Recall: 0.9826
+- F1: 0.9814
+- Accuracy: 0.9831
+
+## 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: 3.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 1.0   | 266  | 0.1279          | 0.9752    | 0.9760 | 0.9756 | 0.9766   |
+| 0.2077        | 2.0   | 532  | 0.0994          | 0.9779    | 0.9815 | 0.9797 | 0.9815   |
+| 0.2077        | 3.0   | 798  | 0.0936          | 0.9802    | 0.9826 | 0.9814 | 0.9831   |
+
+
+### Framework versions
+
+- Transformers 4.17.0.dev0
+- Pytorch 1.10.0
+- Datasets 1.16.1
+- Tokenizers 0.11.0