update model card README.md

README.md

@@ -6,10 +6,25 @@ tags:
 - hf-asr-leaderboard
 - generated_from_trainer
 datasets:
-- Specific Person Voice
+- Specific-Person-Voice
+metrics:
+- wer
 model-index:
 - name: Whisper Small ja - Tohio Uchiyama
-  results: []
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Special
+      type: Specific-Person-Voice
+      config: null
+      split: None
+      args: 'config: ja, split: train'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 984.4311377245509
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -18,6 +33,9 @@ should probably proofread and complete it, then remove this comment. -->
 # Whisper Small ja - Tohio Uchiyama
 
 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Special dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9332
+- Wer: 984.4311
 
 ## Model description
 
@@ -43,13 +61,14 @@ 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: 5
-- training_steps: 10
+- training_steps: 20
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer     |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|
-| No log        | 2.0   | 10   | 1.2708          | 29.3413 |
+| Training Loss | Epoch | Step | Validation Loss | Wer      |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 2.0   | 10   | 1.1812          | 31.1377  |
+| No log        | 4.0   | 20   | 0.9332          | 984.4311 |
 
 
 ### Framework versions