Update README.md

README.md

@@ -11,14 +11,21 @@ datasets:
 model-index:
 - name: whisper-small_child50K_timestretch_stepLR
   results: []
+metrics:
+- wer
+- cer
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# whisper-small_child50K_timestretch_stepLR
+# whisper-small_child50K_timeStretch_stepLR
 
-This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the haseong8012/child-50k dataset.
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the child-50k dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0201
+- Wer: 2.1061
+- Cer: 0.8189
 
 ## Model description
 
@@ -46,9 +53,25 @@ The following hyperparameters were used during training:
 - lr_scheduler_warmup_steps: 500
 - training_steps: 5000
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
+| 0.1004        | 0.18  | 500  | 0.0796          | 9.5440 | 4.0921 |
+| 0.0846        | 0.36  | 1000 | 0.0453          | 5.3319 | 2.3843 |
+| 0.0729        | 0.53  | 1500 | 0.0355          | 4.2849 | 1.7311 |
+| 0.0486        | 0.71  | 2000 | 0.0284          | 2.8701 | 1.2241 |
+| 0.045         | 0.89  | 2500 | 0.0261          | 3.6220 | 2.6581 |
+| 0.0206        | 1.07  | 3000 | 0.0207          | 2.0616 | 0.8263 |
+| 0.0264        | 1.24  | 3500 | 0.0219          | 2.0091 | 0.8275 |
+| 0.0304        | 1.42  | 4000 | 0.0205          | 1.7827 | 0.7207 |
+| 0.0224        | 1.6   | 4500 | 0.0233          | 2.3527 | 0.9527 |
+| 0.0215        | 1.78  | 5000 | 0.0201          | 2.1061 | 0.8189 |
+
+
 ### Framework versions
 
 - Transformers 4.34.1
 - Pytorch 1.12.1
 - Datasets 2.14.5
-- Tokenizers 0.14.1
+- Tokenizers 0.14.1