End of training

README.md

@@ -1,21 +1,40 @@
 ---
 license: apache-2.0
+base_model: Wellyowo/whisper-tiny-zh-tw
 tags:
 - generated_from_trainer
 datasets:
 - common_voice_13_0
-base_model: xmzhu/whisper-tiny-zh-TW
+metrics:
+- wer
 model-index:
-- name: whisper-tiny-dv
-  results: []
+- name: whisper-tiny-zh-tw
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: common_voice_13_0
+      type: common_voice_13_0
+      config: zh-TW
+      split: test
+      args: zh-TW
+    metrics:
+    - name: Wer
+      type: wer
+      value: 64.07766990291263
 ---
 
 <!-- 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-tiny-dv
+# whisper-tiny-zh-tw
 
-This model is a fine-tuned version of [xmzhu/whisper-tiny-zh-TW](https://huggingface.co/xmzhu/whisper-tiny-zh-TW) on the common_voice_13_0 dataset.
+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
 
 ## Model description
 
@@ -38,14 +57,19 @@ The following hyperparameters were used during training:
 - train_batch_size: 4
 - eval_batch_size: 4
 - seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
 - 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: 100
+- training_steps: 500
 - 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 |
 
 
 ### Framework versions