End of training

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-tiny.en](https://huggingface.co/openai/whisper-tiny.en) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0015
-- Wer: 0.0
+- Loss: 5.2953
+- Wer: 123.8095
 
 ## Model description
 
@@ -48,13 +48,13 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer   |
-|:-------------:|:-----:|:----:|:---------------:|:-----:|
-| 0.1446        | 100.0 | 100  | 0.1172          | 100.0 |
-| 0.0161        | 200.0 | 200  | 0.0113          | 0.0   |
-| 0.003         | 300.0 | 300  | 0.0027          | 0.0   |
-| 0.0018        | 400.0 | 400  | 0.0017          | 0.0   |
-| 0.0015        | 500.0 | 500  | 0.0015          | 0.0   |
+| Training Loss | Epoch | Step | Validation Loss | Wer      |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.138         | 100.0 | 100  | 5.4546          | 119.0476 |
+| 0.0191        | 200.0 | 200  | 5.2962          | 119.0476 |
+| 0.0038        | 300.0 | 300  | 5.2987          | 123.8095 |
+| 0.0021        | 400.0 | 400  | 5.2961          | 123.8095 |
+| 0.0017        | 500.0 | 500  | 5.2953          | 123.8095 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:0851eb31cfbc46099d8407228966039cac7840566c931d4ee323080d5c13f490
 size 151060136