End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 64.07766990291263
+      value: 59.22330097087378
 ---
 
 <!-- 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 [Wellyowo/whisper-tiny-zh-tw](https://huggingface.co/Wellyowo/whisper-tiny-zh-tw) on the common_voice_13_0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5372
-- Wer Ortho: 65.0
-- Wer: 64.0777
+- Loss: 0.5683
+- Wer Ortho: 60.0
+- Wer: 59.2233
 
 ## Model description
 
@@ -62,14 +62,21 @@ 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
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer     |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
-| 0.2671        | 0.69  | 500  | 0.5372          | 65.0      | 64.0777 |
+| 0.1844        | 0.69  | 500  | 0.5523          | 64.0      | 65.0485 |
+| 0.1105        | 1.38  | 1000 | 0.5425          | 65.0      | 64.0777 |
+| 0.0475        | 2.06  | 1500 | 0.5324          | 63.0      | 64.0777 |
+| 0.0687        | 2.75  | 2000 | 0.5128          | 62.0      | 61.1650 |
+| 0.0371        | 3.44  | 2500 | 0.5496          | 64.0      | 64.0777 |
+| 0.0181        | 4.13  | 3000 | 0.5339          | 62.0      | 63.1068 |
+| 0.0202        | 4.82  | 3500 | 0.5474          | 65.0      | 64.0777 |
+| 0.011         | 5.51  | 4000 | 0.5683          | 60.0      | 59.2233 |
 
 
 ### Framework versions