Update README.md

README.md

@@ -24,7 +24,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 233.42796309439316
+      value: 174.6096
 ---
 
 <!-- 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-tiny](https://huggingface.co/openai/whisper-tiny) on the Google Fleures dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6558
-- Wer: 233.4280
+- Loss: 0.789679
+- Wer: 174.6096
 
 ## Model description
 
@@ -61,7 +61,7 @@ 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: 500
-- training_steps: 4000
+- training_steps: 8000
 - mixed_precision_training: Native AMP
 
 ### Training results
@@ -72,6 +72,10 @@ The following hyperparameters were used during training:
 | 0.0174        | 12.58 | 2000 | 0.6095          | 143.0979 |
 | 0.0072        | 18.87 | 3000 | 0.6457          | 214.4074 |
 | 0.005         | 25.16 | 4000 | 0.6558          | 233.4280 |
+| 0.001500      | 32.16 | 5000 | 0.735888        | 148.2789 |
+| 0.000600      | 38.16 | 6000 | 0.764227        | 153.5841 |
+| 0.000400      | 44.16 | 7000 | 0.782319        | 174.4144 |
+| 0.000400      | 52.16 | 8000 | 0.789679        | 174.6096 |
 
 
 ### Framework versions