End of training

README.md

@@ -1,13 +1,28 @@
 ---
 license: apache-2.0
+base_model: openai/whisper-small
 tags:
 - generated_from_trainer
-base_model: openai/whisper-small
 datasets:
 - verba_lex_voice
+metrics:
+- wer
 model-index:
 - name: verbalex-zh
-  results: []
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: verba_lex_voice
+      type: verba_lex_voice
+      config: zh
+      split: test
+      args: zh
+    metrics:
+    - name: Wer
+      type: wer
+      value: 4.670558798999166
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -16,6 +31,9 @@ should probably proofread and complete it, then remove this comment. -->
 # verbalex-zh
 
 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the verba_lex_voice dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1147
+- Wer: 4.6706
 
 ## Model description
 
@@ -41,9 +59,18 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- training_steps: 1000
+- training_steps: 3000
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Wer    |
+|:-------------:|:-------:|:----:|:---------------:|:------:|
+| 0.0025        | 5.0505  | 1000 | 0.1035          | 8.5071 |
+| 0.0002        | 10.1010 | 2000 | 0.1130          | 4.7540 |
+| 0.0002        | 15.1515 | 3000 | 0.1147          | 4.6706 |
+
+
 ### Framework versions
 
 - Transformers 4.40.2