End of training

README.md

@@ -1,6 +1,4 @@
 ---
-language:
-- en
 license: apache-2.0
 base_model: openai/whisper-tiny
 tags:
@@ -10,7 +8,7 @@ datasets:
 metrics:
 - wer
 model-index:
-- name: Whisper Tiny enUS  - Nimrita Koul
+- name: whisper-tiny-enUS
   results:
   - task:
       name: Automatic Speech Recognition
@@ -24,19 +22,19 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 35.12396694214876
+      value: 0.3512396694214876
 ---
 
 <!-- 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 Tiny enUS  - Nimrita Koul
+# whisper-tiny-enUS
 
 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: 0.6373
-- Wer Ortho: 35.5336
-- Wer: 35.1240
+- Wer Ortho: 0.3553
+- Wer: 0.3512
 
 ## Model description
 
@@ -68,9 +66,9 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer     |
-|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
-| 0.0008        | 17.86 | 500  | 0.6373          | 35.5336   | 35.1240 |
+| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
+| 0.0008        | 17.86 | 500  | 0.6373          | 0.3553    | 0.3512 |
 
 
 ### Framework versions