update model card README.md

README.md

@@ -3,26 +3,11 @@ license: apache-2.0
 base_model: openai/whisper-tiny
 tags:
 - generated_from_trainer
-datasets:
-- mozilla-foundation/common_voice_9_0
 metrics:
 - wer
 model-index:
 - name: yt-special-batch8-tiny
-  results:
-  - task:
-      name: Automatic Speech Recognition
-      type: automatic-speech-recognition
-    dataset:
-      name: mozilla-foundation/common_voice_9_0 id
-      type: mozilla-foundation/common_voice_9_0
-      config: id
-      split: train
-      args: id
-    metrics:
-    - name: Wer
-      type: wer
-      value: 5.397983265393693
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # yt-special-batch8-tiny
 
-This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the mozilla-foundation/common_voice_9_0 id dataset.
+This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0883
-- Wer: 5.3980
+- Loss: 1.1651
+- Wer: 76.3764
 
 ## Model description
 
@@ -65,11 +50,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer      |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 3.4292        | 1.58  | 1000 | 2.7893          | 302.9157 |
-| 1.7988        | 3.17  | 2000 | 1.5463          | 110.1652 |
-| 1.083         | 4.75  | 3000 | 0.7805          | 76.9320  |
-| 0.3718        | 6.34  | 4000 | 0.3192          | 20.5964  |
-| 0.1292        | 7.92  | 5000 | 0.0883          | 5.3980   |
+| 1.4295        | 0.17  | 1000 | 1.4094          | 110.1550 |
+| 1.3042        | 0.34  | 2000 | 1.2886          | 86.2914  |
+| 1.2212        | 0.52  | 3000 | 1.2206          | 84.1191  |
+| 1.1306        | 0.69  | 4000 | 1.1814          | 78.1532  |
+| 1.1333        | 0.86  | 5000 | 1.1651          | 76.3764  |
 
 
 ### Framework versions