End of training

README.md

@@ -19,6 +19,9 @@ should probably proofread and complete it, then remove this comment. -->
 # Whisper Small zh-TW
 
 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 13.0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2504
+- Cer: 10.4045
 
 ## Model description
 
@@ -47,6 +50,22 @@ The following hyperparameters were used during training:
 - training_steps: 10000
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Cer     |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|
+| 0.0898        | 1.38  | 1000  | 0.1981          | 11.5149 |
+| 0.0283        | 2.75  | 2000  | 0.1991          | 10.3994 |
+| 0.0037        | 4.13  | 3000  | 0.2141          | 10.5107 |
+| 0.0038        | 5.5   | 4000  | 0.2237          | 10.4252 |
+| 0.0033        | 6.88  | 5000  | 0.2263          | 10.3062 |
+| 0.0004        | 8.25  | 6000  | 0.2339          | 10.8238 |
+| 0.0003        | 9.63  | 7000  | 0.2400          | 10.4252 |
+| 0.0002        | 11.0  | 8000  | 0.2451          | 10.5262 |
+| 0.0002        | 12.38 | 9000  | 0.2487          | 10.3605 |
+| 0.0002        | 13.76 | 10000 | 0.2504          | 10.4045 |
+
+
 ### Framework versions
 
 - Transformers 4.38.2

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b0e5b35dee9beb5a808a0e17436d4373b721d571fd1252df14828c877543066b
+oid sha256:4ad18fbcd2feb453c44250581282255c27c05438e3186d5404e83d1e60c44740
 size 966995080