update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 30.31161473087819
+      value: 9.442870632672333
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,8 +31,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-tiny.en](https://huggingface.co/openai/whisper-tiny.en) on the model_eng dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3727
-- Wer: 30.3116
+- Loss: 0.0162
+- Wer: 9.4429
 
 ## Model description
 
@@ -57,18 +57,23 @@ 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
-- num_epochs: 5
+- num_epochs: 10
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Wer     |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|
-| No log        | 1.0   | 15   | 1.9165          | 75.3541 |
-| No log        | 2.0   | 30   | 0.9296          | 70.5382 |
-| No log        | 3.0   | 45   | 0.5552          | 53.4466 |
-| No log        | 4.0   | 60   | 0.4169          | 31.6336 |
-| No log        | 5.0   | 75   | 0.3727          | 30.3116 |
+| No log        | 1.0   | 15   | 0.2506          | 15.9585 |
+| No log        | 2.0   | 30   | 0.1447          | 13.9754 |
+| No log        | 3.0   | 45   | 0.0945          | 11.4259 |
+| No log        | 4.0   | 60   | 0.0657          | 11.7092 |
+| No log        | 5.0   | 75   | 0.0480          | 11.4259 |
+| No log        | 6.0   | 90   | 0.0322          | 9.9150  |
+| No log        | 7.0   | 105  | 0.0243          | 10.1983 |
+| No log        | 8.0   | 120  | 0.0196          | 9.2540  |
+| No log        | 9.0   | 135  | 0.0171          | 9.4429  |
+| No log        | 10.0  | 150  | 0.0162          | 9.4429  |
 
 
 ### Framework versions