update model card README.md

README.md

@@ -1,6 +1,6 @@
 ---
 language:
-- ps_af
+- ps
 license: apache-2.0
 tags:
 - whisper-event
@@ -24,7 +24,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 75.59019370460048
+      value: 57.611985472154956
 ---
 
 <!-- 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-base](https://huggingface.co/openai/whisper-base) on the google/fleurs dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.1695
-- Wer: 75.5902
-- Cer: 32.7613
+- Loss: 0.8723
+- Wer: 57.6120
+- Cer: 26.6468
 
 ## Model description
 
@@ -55,7 +55,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1e-06
+- learning_rate: 1e-05
 - train_batch_size: 16
 - eval_batch_size: 8
 - seed: 42
@@ -64,19 +64,23 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 30
-- training_steps: 600
+- training_steps: 1000
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer      | Cer      |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
-| 2.4594        | 2.38  | 100  | 2.0072          | 337.3411 | 342.0691 |
-| 1.8517        | 4.75  | 200  | 1.4907          | 89.7927  | 40.2811  |
-| 1.7019        | 7.14  | 300  | 1.3038          | 81.7494  | 36.1352  |
-| 1.5249        | 9.52  | 400  | 1.2200          | 77.5575  | 33.8324  |
-| 1.4583        | 11.89 | 500  | 1.1808          | 76.5814  | 33.1807  |
-| 1.4388        | 14.28 | 600  | 1.1695          | 75.5902  | 32.7613  |
+| Training Loss | Epoch | Step | Validation Loss | Wer     | Cer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
+| 0.9708        | 2.38  | 100  | 0.8821          | 64.0133 | 27.3253 |
+| 0.7477        | 4.75  | 200  | 0.8062          | 59.9576 | 26.4079 |
+| 0.6229        | 7.14  | 300  | 0.7855          | 58.3081 | 26.3193 |
+| 0.4833        | 9.52  | 400  | 0.7870          | 57.5288 | 24.8855 |
+| 0.4084        | 11.89 | 500  | 0.7980          | 56.5224 | 25.2214 |
+| 0.3323        | 14.28 | 600  | 0.8201          | 56.6662 | 25.3317 |
+| 0.283         | 16.66 | 700  | 0.8406          | 57.7406 | 26.8674 |
+| 0.2598        | 19.05 | 800  | 0.8538          | 57.2866 | 26.0386 |
+| 0.2235        | 21.42 | 900  | 0.8697          | 58.2703 | 26.6819 |
+| 0.2202        | 23.8  | 1000 | 0.8723          | 57.6120 | 26.6468 |
 
 
 ### Framework versions