update model card README.md

README.md

@@ -24,7 +24,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 42.517911975435005
+      value: 40.81883316274309
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -34,8 +34,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2554
-- Wer: 42.5179
+- Loss: 0.1984
+- Wer: 40.8188
 
 ## Model description
 
@@ -60,19 +60,19 @@ 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: 500
-- training_steps: 5000
+- lr_scheduler_warmup_steps: 100
+- training_steps: 1000
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Wer     |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 0.0046        | 6.02  | 1000 | 0.2102          | 41.8014 |
-| 0.0014        | 13.02 | 2000 | 0.2266          | 41.6172 |
-| 0.0004        | 20.01 | 3000 | 0.2437          | 42.1699 |
-| 0.0003        | 27.0  | 4000 | 0.2521          | 42.5179 |
-| 0.0002        | 33.02 | 5000 | 0.2554          | 42.5179 |
+| 0.1438        | 1.05  | 200  | 0.1822          | 42.4360 |
+| 0.0315        | 2.1   | 400  | 0.1869          | 42.1290 |
+| 0.0113        | 4.01  | 600  | 0.1953          | 40.6346 |
+| 0.0053        | 5.06  | 800  | 0.1950          | 40.6755 |
+| 0.0035        | 6.11  | 1000 | 0.1984          | 40.8188 |
 
 
 ### Framework versions