Revert "update README"

This reverts commit 4965488deb903f15c8c1d7abcb17dc38988bc52c.

README.md

@@ -1,89 +1,12 @@
 ---
+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
 ---
 
-<!-- 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
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces#reference