Model save

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 54.10855824219926
+      value: 43.91491923347045
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the audiofolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3691
-- Wer: 54.1086
+- Loss: 0.3696
+- Wer: 43.9149
 
 ## Model description
 
@@ -64,12 +64,12 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer      |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.142         | 1.43  | 1000 | 0.3087          | 114.8992 |
-| 0.0678        | 2.87  | 2000 | 0.3034          | 81.2481  |
-| 0.0121        | 4.3   | 3000 | 0.3543          | 51.2291  |
-| 0.0038        | 5.74  | 4000 | 0.3691          | 54.1086  |
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.1434        | 1.43  | 1000 | 0.3030          | 96.4984 |
+| 0.0745        | 2.87  | 2000 | 0.3035          | 64.6433 |
+| 0.0141        | 4.3   | 3000 | 0.3428          | 42.8213 |
+| 0.0037        | 5.74  | 4000 | 0.3696          | 43.9149 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:3f248b5fbf3ea97b4f6b6232202d768c7e6f96916c3600468b4af1de638e12cb
 size 3055544304