update model card README.md

README.md

@@ -1,42 +1,42 @@
 ---
 language:
-- dv
+- en-US
 license: apache-2.0
-base_model: openai/whisper-small
+base_model: openai/whisper-tiny
 tags:
 - generated_from_trainer
 datasets:
-- mozilla-foundation/common_voice_13_0
+- PolyAI/minds14
 metrics:
 - wer
 model-index:
-- name: Whisper Small Dv - Sanchit Gandhi
+- name: Whisper Tiny en-US
   results:
   - task:
       name: Automatic Speech Recognition
       type: automatic-speech-recognition
     dataset:
-      name: Common Voice 13
-      type: mozilla-foundation/common_voice_13_0
-      config: dv
-      split: test
-      args: dv
+      name: PolyAI/minds14
+      type: PolyAI/minds14
+      config: en-US
+      split: train
+      args: en-US
     metrics:
     - name: Wer
       type: wer
-      value: 0.13464547762283965
+      value: 0.320973348783314
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# Whisper Small Dv - Sanchit Gandhi
+# Whisper Tiny en-US
 
-This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 13 dataset.
+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: 0.1731
-- Wer Ortho: 0.6363
-- Wer: 0.1346
+- Loss: 0.6575
+- Wer Ortho: 0.3219
+- Wer: 0.3210
 
 ## Model description
 
@@ -70,7 +70,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
-| 0.1226        | 1.63  | 500  | 0.1731          | 0.6363    | 0.1346 |
+| 0.0007        | 17.94 | 500  | 0.6575          | 0.3219    | 0.3210 |
 
 
 ### Framework versions