End of training

README.md

@@ -20,8 +20,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9332
-- Wer: 54.0650
+- Loss: 0.9570
+- Wer: 57.7816
 
 ## Model description
 
@@ -54,8 +54,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Wer     |
 |:-------------:|:------:|:----:|:---------------:|:-------:|
-| 0.5941        | 0.9375 | 15   | 0.9212          | 56.9686 |
-| 0.5215        | 1.875  | 30   | 0.9332          | 54.0650 |
+| 0.4501        | 0.9375 | 15   | 0.9326          | 54.2393 |
+| 0.3805        | 1.875  | 30   | 0.9570          | 57.7816 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:7144c585321920f09492141d23025c7d4beca620d2273709fae3a1764e91192f
 size 966995080