End of training

README.md

@@ -20,12 +20,12 @@ model-index:
       name: Minds 14
       type: PolyAI/minds14
       config: en-US
-      split: train
+      split: train[450:]
       args: en-US
     metrics:
     - name: Wer
       type: wer
-      value: 3.6057407187759463
+      value: 32.93978748524203
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -35,9 +35,9 @@ 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 Minds 14 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0015
-- Wer Ortho: 3.7349
-- Wer: 3.6057
+- Loss: 0.6469
+- Wer Ortho: 33.0660
+- Wer: 32.9398
 
 ## Model description
 
@@ -68,9 +68,9 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch   | Step | Validation Loss | Wer Ortho | Wer    |
-|:-------------:|:-------:|:----:|:---------------:|:---------:|:------:|
-| 0.001         | 13.8889 | 500  | 0.0015          | 3.7349    | 3.6057 |
+| Training Loss | Epoch   | Step | Validation Loss | Wer Ortho | Wer     |
+|:-------------:|:-------:|:----:|:---------------:|:---------:|:-------:|
+| 0.0013        | 17.2414 | 500  | 0.6469          | 33.0660   | 32.9398 |
 
 
 ### Framework versions