Update README.md

README.md

@@ -1,18 +1,40 @@
 ---
+language:
+- se
 license: apache-2.0
 tags:
+- hf-asr-leaderboard
 - generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_11_0
+metrics:
+- wer
 model-index:
-- name: lab2_id2223
-  results: []
+- name: Whisper Small sv-SE - KTH
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 11.0
+      type: mozilla-foundation/common_voice_11_0
+      config: se
+      split: test
+    metrics:
+    - name: Wer
+      type: wer
+      value: 19.11929903392496
 ---
 
 <!-- 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. -->
 
-# lab2_id2223
+# Whisper Small sv-SE - KTH
 
-This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3310
+- Wer: 19.1193
 
 ## Model description
 
@@ -41,9 +63,19 @@ The following hyperparameters were used during training:
 - training_steps: 4000
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.1015        | 1.29  | 1000 | 0.2880          | 20.4134 |
+| 0.0387        | 2.59  | 2000 | 0.2959          | 19.6810 |
+| 0.0126        | 3.88  | 3000 | 0.3103          | 19.2990 |
+| 0.0035        | 5.17  | 4000 | 0.3310          | 19.1193 |
+
+
 ### Framework versions
 
 - Transformers 4.26.0.dev0
-- Pytorch 1.12.1+cu113
+- Pytorch 1.13.0+cu116
 - Datasets 2.7.1
 - Tokenizers 0.13.2