End of training

README.md

@@ -25,7 +25,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 0.3246753246753247
+      value: 0.3252656434474616
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -35,10 +35,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Minds14 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6645
-- Wer Ortho Percentage: 32.4491
-- Wer: 0.3247
-- Wer Percentage: 0.3247
+- Loss: 0.6628
+- Wer Ortho Percentage: 32.5108
+- Wer: 0.3253
+- Wer Percentage: 32.5266
 
 ## Model description
 
@@ -71,7 +71,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch   | Step | Validation Loss | Wer Ortho Percentage | Wer    | Wer Percentage |
 |:-------------:|:-------:|:----:|:---------------:|:--------------------:|:------:|:--------------:|
-| 0.0006        | 17.8571 | 500  | 0.6645          | 32.4491              | 0.3247 | 0.3247         |
+| 0.0006        | 17.8571 | 500  | 0.6628          | 32.5108              | 0.3253 | 32.5266        |
 
 
 ### Framework versions