End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 33.41204250295159
+      value: 0.32585596221959856
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,9 +32,9 @@ 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 PolyAI/minds14 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6394
-- Wer Ortho: 32.9426
-- Wer: 33.4120
+- Loss: 0.7338
+- Wer Ortho: 32.1407
+- Wer: 0.3259
 
 ## Model description
 
@@ -65,9 +65,9 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer     |
-|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
-| 0.0011        | 17.86 | 500  | 0.6394          | 32.9426   | 33.4120 |
+| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
+| 0.0002        | 17.86 | 500  | 0.7338          | 32.1407   | 0.3259 |
 
 
 ### Framework versions

model.safetensors

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runs/Mar18_14-56-18_c70445d3c3a5/events.out.tfevents.1710773783.c70445d3c3a5.468.1

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training_args.bin

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