End of training

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 53.40302063717767
+      value: 43.87610007301795
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,9 +33,9 @@ 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 common_voice_17_0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8496
-- Model Preparation Time: 0.003
-- Wer: 53.4030
+- Loss: 0.6535
+- Model Preparation Time: 0.0032
+- Wer: 43.8761
 
 ## Model description
 
@@ -68,11 +68,17 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | Wer     |
-|:-------------:|:-----:|:----:|:---------------:|:----------------------:|:-------:|
-| 1.5828        | 0.32  | 50   | 1.1291          | 0.003                  | 63.7351 |
-| 0.8342        | 0.64  | 100  | 0.8994          | 0.003                  | 56.2661 |
-| 0.7015        | 0.96  | 150  | 0.8496          | 0.003                  | 53.4030 |
+| Training Loss | Epoch  | Step | Validation Loss | Model Preparation Time | Wer     |
+|:-------------:|:------:|:----:|:---------------:|:----------------------:|:-------:|
+| 1.5279        | 0.1103 | 50   | 1.1295          | 0.0032                 | 64.1770 |
+| 0.8155        | 0.2206 | 100  | 0.8755          | 0.0032                 | 56.6888 |
+| 0.6529        | 0.3309 | 150  | 0.7871          | 0.0032                 | 49.3640 |
+| 0.5837        | 0.4413 | 200  | 0.7383          | 0.0032                 | 47.9315 |
+| 0.5479        | 0.5516 | 250  | 0.7044          | 0.0032                 | 46.3078 |
+| 0.5195        | 0.6619 | 300  | 0.6823          | 0.0032                 | 45.4835 |
+| 0.505         | 0.7722 | 350  | 0.6674          | 0.0032                 | 44.5285 |
+| 0.4985        | 0.8825 | 400  | 0.6570          | 0.0032                 | 43.8828 |
+| 0.4841        | 0.9928 | 450  | 0.6535          | 0.0032                 | 43.8761 |
 
 
 ### Framework versions

runs/Feb27_15-10-06_ai4d-Lambda-Vector/events.out.tfevents.1740660521.ai4d-Lambda-Vector.2836067.0

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-size 12514
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+size 12868

runs/Feb27_15-10-06_ai4d-Lambda-Vector/events.out.tfevents.1740684869.ai4d-Lambda-Vector.2836067.1

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