update model card README.md

README.md

@@ -5,9 +5,23 @@ tags:
 - generated_from_trainer
 datasets:
 - PolyAI/minds14
+metrics:
+- wer
 model-index:
 - name: bwilkie-whisper-small-dv
-  results: []
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: PolyAI/minds14
+      type: PolyAI/minds14
+      config: null
+      split: None
+    metrics:
+    - name: Wer
+      type: wer
+      value: 0.23270055113288426
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -16,6 +30,10 @@ should probably proofread and complete it, then remove this comment. -->
 # bwilkie-whisper-small-dv
 
 This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the PolyAI/minds14 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7358
+- Wer Ortho: 0.2389
+- Wer: 0.2327
 
 ## Model description
 
@@ -43,6 +61,13 @@ The following hyperparameters were used during training:
 - lr_scheduler_warmup_steps: 50
 - training_steps: 500
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
+| 0.0001        | 17.86 | 500  | 0.7358          | 0.2389    | 0.2327 |
+
+
 ### Framework versions
 
 - Transformers 4.31.0