End of training

README.md

@@ -13,9 +13,21 @@ tags:
 - generated_from_trainer
 datasets:
 - JacobLinCool/common_voice_19_0_zh-TW
+metrics:
+- wer
 model-index:
 - name: whisper-large-v3-turbo-common_voice_19_0-zh-TW-full-2
-  results: []
+  results:
+  - task:
+      type: automatic-speech-recognition
+      name: Automatic Speech Recognition
+    dataset:
+      name: JacobLinCool/common_voice_19_0_zh-TW
+      type: JacobLinCool/common_voice_19_0_zh-TW
+    metrics:
+    - type: wer
+      value: 32.55535607420706
+      name: Wer
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -25,17 +37,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) on the JacobLinCool/common_voice_19_0_zh-TW dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 0.1786
-- eval_wer: 32.5554
-- eval_cer: 8.6009
-- eval_decode_runtime: 90.9833
-- eval_wer_runtime: 0.1257
-- eval_cer_runtime: 0.1534
-- eval_runtime: 297.9052
-- eval_samples_per_second: 16.828
-- eval_steps_per_second: 0.527
-- epoch: 3.0737
-- step: 5000
+- Loss: 0.1786
+- Wer: 32.5554
+- Cer: 8.6009
+- Decode Runtime: 90.9833
+- Wer Runtime: 0.1257
+- Cer Runtime: 0.1534
 
 ## Model description
 
@@ -65,6 +72,23 @@ The following hyperparameters were used during training:
 - lr_scheduler_warmup_steps: 50
 - training_steps: 5000
 
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer     | Cer     | Decode Runtime | Wer Runtime | Cer Runtime |
+|:-------------:|:------:|:----:|:---------------:|:-------:|:-------:|:--------------:|:-----------:|:-----------:|
+| No log        | 0      | 0    | 2.7208          | 76.5011 | 20.4851 | 89.4916        | 0.1213      | 0.1639      |
+| 1.1832        | 0.1    | 500  | 0.1939          | 39.9561 | 10.8721 | 90.0926        | 0.1222      | 0.1555      |
+| 1.5179        | 0.2    | 1000 | 0.1774          | 37.6621 | 9.9322  | 89.8657        | 0.1225      | 0.1545      |
+| 0.6179        | 0.3    | 1500 | 0.1796          | 36.2657 | 9.8325  | 90.2480        | 0.1198      | 0.1573      |
+| 0.3626        | 1.0912 | 2000 | 0.1846          | 36.2258 | 9.7801  | 90.3306        | 0.1196      | 0.1539      |
+| 0.1311        | 1.1912 | 2500 | 0.1776          | 34.8095 | 9.3214  | 90.3124        | 0.1286      | 0.1610      |
+| 0.1263        | 1.2912 | 3000 | 0.1763          | 36.1261 | 9.3563  | 90.4271        | 0.1330      | 0.1650      |
+| 0.2194        | 2.0825 | 3500 | 0.1891          | 34.6898 | 9.3114  | 91.1932        | 0.1320      | 0.1643      |
+| 0.1127        | 2.1825 | 4000 | 0.1838          | 34.0714 | 9.1095  | 90.2416        | 0.1196      | 0.1529      |
+| 0.3792        | 2.2824 | 4500 | 0.1786          | 33.1339 | 8.7679  | 90.9144        | 0.1310      | 0.1550      |
+| 0.0606        | 3.0737 | 5000 | 0.1786          | 32.5554 | 8.6009  | 90.9833        | 0.1257      | 0.1534      |
+
+
 ### Framework versions
 
 - PEFT 0.13.2

runs/Oct30_21-40-20_ff22b0acc852/events.out.tfevents.1730324827.ff22b0acc852.863.0

@@ -1,3 +1,3 @@
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-size 3683190
+oid sha256:12764aaa341788354c324f848e684f1858c10b16d8626a5a8cf668af8cb0200c
+size 3683544