End of training

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 34.88457850873958
+      value: 30.326720259606166
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,9 +33,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Papi ASR dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3812
-- Wer: 34.8846
-- Cer: 17.4600
+- Loss: 0.3275
+- Wer: 30.3267
+- Cer: 15.4823
 
 ## Model description
 
@@ -68,10 +68,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer     | Cer     |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
-| 0.3142        | 0.07  | 50   | 0.4591          | 47.0684 | 29.9418 |
-| 0.331         | 0.15  | 100  | 0.4139          | 37.9527 | 19.3123 |
-| 0.3721        | 0.22  | 150  | 0.3897          | 34.8403 | 16.6445 |
-| 0.3802        | 0.3   | 200  | 0.3812          | 34.8846 | 17.4600 |
+| 0.1932        | 0.07  | 50   | 0.3766          | 42.1934 | 28.1746 |
+| 0.2235        | 0.15  | 100  | 0.3513          | 33.0998 | 17.9645 |
+| 0.2989        | 0.22  | 150  | 0.3337          | 30.2898 | 14.8959 |
+| 0.3269        | 0.3   | 200  | 0.3275          | 30.3267 | 15.4823 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f16644e95588c00112488b84864163c9c731730c160733d6a0d1af22f0ff0859
+oid sha256:4945d1892923cfb8a3a6d84acce311f310178b4489e98b7698309dd93bfb602e
 size 151061672