update model card README.md

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 4.215851602023609
+      value: 7.431944109853047
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,9 +32,9 @@ 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 PolyAI/minds14 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0011
-- Wer Ortho: 4.3200
-- Wer: 4.2159
+- Loss: 0.0000
+- Wer Ortho: 7.4972
+- Wer: 7.4319
 
 ## Model description
 
@@ -60,13 +60,20 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: constant_with_warmup
 - lr_scheduler_warmup_steps: 50
-- training_steps: 500
+- training_steps: 4000
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer    |
-|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
-| 0.0017        | 14.29 | 500  | 0.0011          | 4.3200    | 4.2159 |
+| Training Loss | Epoch  | Step | Validation Loss | Wer Ortho | Wer    |
+|:-------------:|:------:|:----:|:---------------:|:---------:|:------:|
+| 0.0017        | 14.29  | 500  | 0.0011          | 4.3200    | 4.2159 |
+| 0.0003        | 28.57  | 1000 | 0.0005          | 4.4204    | 4.3724 |
+| 0.001         | 42.86  | 1500 | 0.0003          | 4.1567    | 4.0954 |
+| 0.0001        | 57.14  | 2000 | 0.0001          | 4.3702    | 4.3483 |
+| 0.0001        | 71.43  | 2500 | 0.0001          | 7.1958    | 7.1429 |
+| 0.0           | 85.71  | 3000 | 0.0000          | 7.5097    | 7.4440 |
+| 0.0           | 100.0  | 3500 | 0.0000          | 7.5348    | 7.4681 |
+| 0.0           | 114.29 | 4000 | 0.0000          | 7.4972    | 7.4319 |
 
 
 ### Framework versions