update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 0.3695395513577332
+      value: 0.34297520661157027
 ---
 
 <!-- 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: 0.7064
-- Wer Ortho: 0.3720
-- Wer: 0.3695
+- Loss: 0.6386
+- Wer Ortho: 0.3461
+- Wer: 0.3430
 
 ## Model description
 
@@ -53,7 +53,7 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 1e-05
-- train_batch_size: 64
+- train_batch_size: 16
 - eval_batch_size: 16
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
@@ -65,16 +65,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
-| 1.5939        | 7.14  | 50   | 0.6729          | 0.4294    | 0.4032 |
-| 0.1094        | 14.29 | 100  | 0.5254          | 0.3763    | 0.3642 |
-| 0.0057        | 21.43 | 150  | 0.5993          | 0.3646    | 0.3607 |
-| 0.002         | 28.57 | 200  | 0.6255          | 0.3609    | 0.3601 |
-| 0.0013        | 35.71 | 250  | 0.6444          | 0.3652    | 0.3625 |
-| 0.0009        | 42.86 | 300  | 0.6603          | 0.3689    | 0.3660 |
-| 0.0007        | 50.0  | 350  | 0.6736          | 0.3701    | 0.3678 |
-| 0.0006        | 57.14 | 400  | 0.6857          | 0.3726    | 0.3707 |
-| 0.0005        | 64.29 | 450  | 0.6965          | 0.3708    | 0.3689 |
-| 0.0004        | 71.43 | 500  | 0.7064          | 0.3720    | 0.3695 |
+| 1.7971        | 1.79  | 50   | 0.7476          | 0.4411    | 0.4008 |
+| 0.3112        | 3.57  | 100  | 0.4953          | 0.3560    | 0.3453 |
+| 0.1214        | 5.36  | 150  | 0.5073          | 0.3763    | 0.3589 |
+| 0.0359        | 7.14  | 200  | 0.5244          | 0.3442    | 0.3347 |
+| 0.011         | 8.93  | 250  | 0.5569          | 0.3510    | 0.3371 |
+| 0.0038        | 10.71 | 300  | 0.5903          | 0.3393    | 0.3329 |
+| 0.0019        | 12.5  | 350  | 0.6068          | 0.3405    | 0.3353 |
+| 0.0012        | 14.29 | 400  | 0.6175          | 0.3418    | 0.3377 |
+| 0.0012        | 16.07 | 450  | 0.6253          | 0.3362    | 0.3329 |
+| 0.0013        | 17.86 | 500  | 0.6386          | 0.3461    | 0.3430 |
 
 
 ### Framework versions