End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 96.50924024640656
+      value: 102.84463894967178
 ---
 
 <!-- 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-small](https://huggingface.co/openai/whisper-small) on the Paula dataset.
 It achieves the following results on the evaluation set:
-- Loss: 4.0024
-- Wer: 96.5092
+- Loss: 3.1674
+- Wer: 102.8446
 
 ## Model description
 
@@ -64,13 +64,13 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer     |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 0.3865        | 10.0  | 200  | 3.3504          | 96.7146 |
-| 0.0139        | 20.0  | 400  | 3.7153          | 96.5092 |
-| 0.0015        | 30.0  | 600  | 3.9040          | 95.8932 |
-| 0.0009        | 40.0  | 800  | 3.9813          | 97.1253 |
-| 0.0008        | 50.0  | 1000 | 4.0024          | 96.5092 |
+| Training Loss | Epoch | Step | Validation Loss | Wer      |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.3851        | 10.0  | 200  | 2.6828          | 101.7505 |
+| 0.0097        | 20.0  | 400  | 2.9628          | 101.5317 |
+| 0.002         | 30.0  | 600  | 3.1073          | 100.2188 |
+| 0.001         | 40.0  | 800  | 3.1528          | 101.9694 |
+| 0.0008        | 50.0  | 1000 | 3.1674          | 102.8446 |
 
 
 ### Framework versions

model.safetensors

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 size 966995080

runs/Oct12_15-48-44_d7097a64654f/events.out.tfevents.1728748126.d7097a64654f.980.0

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