update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 34.120425029515935
+      value: 0.3541912632821724
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,9 +31,9 @@ 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: 0.6900
-- Wer Ortho: 35.9038
-- Wer: 34.1204
+- Loss: 0.6875
+- Wer Ortho: 0.3745
+- Wer: 0.3542
 
 ## Model description
 
@@ -58,24 +58,23 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 150
 - training_steps: 500
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer     |
-|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
-| 3.5847        | 1.79  | 50   | 2.5796          | 52.3751   | 40.2597 |
-| 0.6921        | 3.57  | 100  | 0.6884          | 42.5663   | 37.1901 |
-| 0.305         | 5.36  | 150  | 0.5833          | 39.1733   | 35.5962 |
-| 0.1133        | 7.14  | 200  | 0.5980          | 36.8291   | 34.3566 |
-| 0.0391        | 8.93  | 250  | 0.6228          | 37.3843   | 34.2385 |
-| 0.0138        | 10.71 | 300  | 0.6522          | 39.4201   | 37.1311 |
-| 0.0051        | 12.5  | 350  | 0.6699          | 35.7187   | 33.4711 |
-| 0.0032        | 14.29 | 400  | 0.6826          | 36.0888   | 34.0024 |
-| 0.0027        | 16.07 | 450  | 0.6881          | 36.2122   | 34.3566 |
-| 0.0024        | 17.86 | 500  | 0.6900          | 35.9038   | 34.1204 |
+| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
+| 0.6838        | 1.79  | 50   | 0.6522          | 0.4028    | 0.3613 |
+| 0.2778        | 3.57  | 100  | 0.5727          | 0.3880    | 0.3589 |
+| 0.1313        | 5.36  | 150  | 0.5870          | 0.3794    | 0.3501 |
+| 0.0539        | 7.14  | 200  | 0.6080          | 0.3726    | 0.3471 |
+| 0.022         | 8.93  | 250  | 0.6380          | 0.3745    | 0.3477 |
+| 0.0095        | 10.71 | 300  | 0.6629          | 0.3843    | 0.3595 |
+| 0.0049        | 12.5  | 350  | 0.6715          | 0.3819    | 0.3583 |
+| 0.0036        | 14.29 | 400  | 0.6811          | 0.3825    | 0.3595 |
+| 0.0032        | 16.07 | 450  | 0.6858          | 0.3757    | 0.3554 |
+| 0.0029        | 17.86 | 500  | 0.6875          | 0.3745    | 0.3542 |
 
 
 ### Framework versions