update model card README.md

README.md

@@ -4,9 +4,24 @@ tags:
 - generated_from_trainer
 datasets:
 - PolyAI/minds14
+metrics:
+- wer
 model-index:
 - name: whisper-tiny-minds-en
-  results: []
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: PolyAI/minds14
+      type: PolyAI/minds14
+      config: en-US
+      split: train
+      args: en-US
+    metrics:
+    - name: Wer
+      type: wer
+      value: 0.8878394332939787
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,6 +30,10 @@ should probably proofread and complete it, then remove this comment. -->
 # whisper-tiny-minds-en
 
 This model is a fine-tuned version of [ihanif/whisper-tiny-minds-en](https://huggingface.co/ihanif/whisper-tiny-minds-en) on the PolyAI/minds14 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.2762
+- Wer Ortho: 0.9025
+- Wer: 0.8878
 
 ## Model description
 
@@ -40,10 +59,14 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: constant_with_warmup
 - lr_scheduler_warmup_steps: 50
-- training_steps: 50
+- training_steps: 2
 
 ### Training results
 
+| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
+| 2.8469        | 0.04  | 1    | 3.2762          | 0.9025    | 0.8878 |
+| 2.2255        | 0.07  | 2    | 3.2762          | 0.9025    | 0.8878 |
 
 
 ### Framework versions