Upload README.md

README.md

@@ -7,17 +7,35 @@ tags:
 - generated_from_trainer
 datasets:
 - mozilla-foundation/common_voice_11_0
+metrics:
+- wer
 model-index:
-- name: whisper-fine-tuned-de_arg
-  results: []
+- name: whisper-fine-tuned-de_arga
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 11.0
+      type: mozilla-foundation/common_voice_11_0
+      config: de
+      split: validation[2000:4000]
+      args: 'config: german, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 13.547131036720566
 ---
 
 <!-- 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. -->
 
-# whisper-fine-tuned-de_arg
+# whisper-fine-tuned-de_arga
 
 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: 0.3381
+- Wer: 13.5471
 
 ## Model description
 
@@ -48,6 +66,17 @@ The following hyperparameters were used during training:
 - training_steps: 5000
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.1278        | 1.6   | 1000 | 0.2690          | 13.9852 |
+| 0.0155        | 3.2   | 2000 | 0.3036          | 13.5417 |
+| 0.0035        | 4.8   | 3000 | 0.3180          | 13.4985 |
+| 0.0012        | 6.4   | 4000 | 0.3335          | 13.5634 |
+| 0.001         | 8.0   | 5000 | 0.3381          | 13.5471 |
+
+
 ### Framework versions
 
 - Transformers 4.27.0.dev0