End of training

README.md

@@ -17,12 +17,12 @@ model-index:
       type: automatic-speech-recognition
       name: Automatic Speech Recognition
     dataset:
-      name: ORF Bundesländer Voices
+      name: ZIB2 Common Voice
       type: rmacek/ORF-whisper-small
       args: 'config: de, split: test'
     metrics:
     - type: wer
-      value: 26.328635352109302
+      value: 29.46806728721495
       name: Wer
 ---
 
@@ -31,10 +31,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # Whisper ORF Bundeslaender
 
-This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the ORF Bundesländer Voices dataset.
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the ZIB2 Common Voice dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6154
-- Wer: 26.3286
+- Loss: 0.7149
+- Wer: 29.4681
 
 ## Model description
 
@@ -60,17 +60,21 @@ 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: 500
-- training_steps: 4000
+- training_steps: 8000
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch  | Step | Validation Loss | Wer     |
-|:-------------:|:------:|:----:|:---------------:|:-------:|
-| 0.5731        | 1.7153 | 1000 | 0.6095          | 36.1178 |
-| 0.4196        | 3.4305 | 2000 | 0.6040          | 26.1875 |
-| 0.4214        | 5.1458 | 3000 | 0.6086          | 26.3813 |
-| 0.3579        | 6.8611 | 4000 | 0.6154          | 26.3286 |
+| Training Loss | Epoch   | Step | Validation Loss | Wer     |
+|:-------------:|:-------:|:----:|:---------------:|:-------:|
+| 0.5717        | 1.7153  | 1000 | 0.6098          | 35.2851 |
+| 0.41          | 3.4305  | 2000 | 0.6053          | 32.7056 |
+| 0.386         | 5.1458  | 3000 | 0.6148          | 26.9699 |
+| 0.3123        | 6.8611  | 4000 | 0.6345          | 26.4842 |
+| 0.2183        | 8.5763  | 5000 | 0.6622          | 28.1329 |
+| 0.2231        | 10.2916 | 6000 | 0.6901          | 28.5253 |
+| 0.2259        | 12.0069 | 7000 | 0.7028          | 27.4413 |
+| 0.1708        | 13.7221 | 8000 | 0.7149          | 29.4681 |
 
 
 ### Framework versions

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:88cba57f3d01578ffe2cc1ad72a811893af073415c276e74dcc8d8023be6c000
+oid sha256:7dec1d11f29e248fd4a59729569ed153850709fac79b183983ee2b871869c312
 size 14176064