End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 97.67441860465115
+      value: 96.50924024640656
 ---
 
 <!-- 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: 3.6049
-- Wer: 97.6744
+- Loss: 4.0024
+- Wer: 96.5092
 
 ## Model description
 
@@ -64,13 +64,13 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch   | Step | Validation Loss | Wer      |
-|:-------------:|:-------:|:----:|:---------------:|:--------:|
-| 0.3972        | 10.5263 | 200  | 3.1759          | 107.3090 |
-| 0.0134        | 21.0526 | 400  | 3.3600          | 98.5050  |
-| 0.0022        | 31.5789 | 600  | 3.5296          | 99.0033  |
-| 0.001         | 42.1053 | 800  | 3.5838          | 94.8505  |
-| 0.0008        | 52.6316 | 1000 | 3.6049          | 97.6744  |
+| 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 |
 
 
 ### Framework versions

model.safetensors

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runs/Oct12_09-50-19_e6b2bf92b8ff/events.out.tfevents.1728726622.e6b2bf92b8ff.325.0

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