update model card README.md

README.md

@@ -24,7 +24,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 0.7132027795325332
+      value: 0.9778869778869779
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -34,9 +34,9 @@ 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 MInDS-14 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7759
-- Wer Ortho: 0.5066
-- Wer: 0.7132
+- Loss: 0.6328
+- Wer Ortho: 0.8836
+- Wer: 0.9779
 
 ## Model description
 
@@ -62,13 +62,13 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: constant_with_warmup
 - lr_scheduler_warmup_steps: 50
-- training_steps: 100
+- training_steps: 1000
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
-| 0.8406        | 0.45  | 100  | 0.7759          | 0.5066    | 0.7132 |
+| 0.0017        | 4.48  | 1000 | 0.6328          | 0.8836    | 0.9779 |
 
 
 ### Framework versions