update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 0.3919716646989374
+      value: 0.333530106257379
 ---
 
 <!-- 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 Minds 14 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.6343
-- Wer Ortho: 0.4744
-- Wer: 0.3920
+- Loss: 0.6262
+- Wer Ortho: 0.3455
+- Wer: 0.3335
 
 ## Model description
 
@@ -52,20 +52,29 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1e-05
-- train_batch_size: 16
-- eval_batch_size: 16
+- learning_rate: 2e-05
+- train_batch_size: 32
+- eval_batch_size: 32
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: cosine
 - lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 1
+- num_epochs: 10
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
-| 1.8098        | 1.0   | 29   | 1.6343          | 0.4744    | 0.3920 |
+| 3.7423        | 1.0   | 15   | 2.9584          | 0.5275    | 0.4079 |
+| 0.5112        | 2.0   | 30   | 0.7722          | 0.4022    | 0.3731 |
+| 0.2542        | 3.0   | 45   | 0.6002          | 0.3837    | 0.3619 |
+| 0.1196        | 4.0   | 60   | 0.5739          | 0.3492    | 0.3294 |
+| 0.0214        | 5.0   | 75   | 0.5843          | 0.3652    | 0.3542 |
+| 0.0659        | 6.0   | 90   | 0.6047          | 0.3418    | 0.3282 |
+| 0.0322        | 7.0   | 105  | 0.6134          | 0.3560    | 0.3424 |
+| 0.0049        | 8.0   | 120  | 0.6180          | 0.3553    | 0.3406 |
+| 0.0348        | 9.0   | 135  | 0.6242          | 0.3442    | 0.3323 |
+| 0.1332        | 10.0  | 150  | 0.6262          | 0.3455    | 0.3335 |
 
 
 ### Framework versions