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README.md

@@ -1,28 +1,11 @@
 ---
-language:
-- de
-license: apache-2.0
-base_model: bofenghuang/whisper-medium-cv11-german
 tags:
 - generated_from_trainer
-datasets:
-- shadow-wxh/VoiceCommandAudio
 metrics:
 - wer
 model-index:
 - name: voicecommand-german-medium
-  results:
-  - task:
-      name: Automatic Speech Recognition
-      type: automatic-speech-recognition
-    dataset:
-      name: VoiceCommandAudio
-      type: shadow-wxh/VoiceCommandAudio
-      args: 'config: de, split: test'
-    metrics:
-    - name: Wer
-      type: wer
-      value: 0.0
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,10 +13,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # voicecommand-german-medium
 
-This model is a fine-tuned version of [bofenghuang/whisper-medium-cv11-german](https://huggingface.co/bofenghuang/whisper-medium-cv11-german) on the VoiceCommandAudio dataset.
+This model was trained from scratch on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0011
-- Wer: 0.0
+- Loss: 0.0060
+- Wer: 0.9390
 
 ## Model description
 
@@ -61,16 +44,16 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 10
-- training_steps: 30
+- training_steps: 100
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch  | Step | Validation Loss | Wer     |
-|:-------------:|:------:|:----:|:---------------:|:-------:|
-| 1.2529        | 0.5556 | 10   | 0.3307          | 38.1333 |
-| 0.108         | 1.1111 | 20   | 0.0028          | 0.0     |
-| 0.0026        | 1.6667 | 30   | 0.0011          | 0.0     |
+| Training Loss | Epoch  | Step | Validation Loss | Wer    |
+|:-------------:|:------:|:----:|:---------------:|:------:|
+| 0.4615        | 1.0476 | 33   | 0.0203          | 1.7214 |
+| 0.0121        | 2.0952 | 66   | 0.0113          | 0.9390 |
+| 0.0043        | 3.1429 | 99   | 0.0060          | 0.9390 |
 
 
 ### Framework versions

model.safetensors

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runs/Aug05_15-42-12_DESKTOP-G9B0LHL/events.out.tfevents.1722843758.DESKTOP-G9B0LHL.74640.0

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training_args.bin

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