End of training

README.md

@@ -2,14 +2,29 @@
 language:
 - dv
 license: apache-2.0
-base_model: openai/whisper-small
+base_model: sanchit-gandhi/whisper-small-dv
 tags:
 - generated_from_trainer
 datasets:
 - mozilla-foundation/common_voice_13_0
+metrics:
+- wer
 model-index:
 - name: Whisper Small Dv
-  results: []
+  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
+    metrics:
+    - name: Wer
+      type: wer
+      value: 11.718885836491985
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -17,7 +32,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 # Whisper Small Dv
 
-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 [sanchit-gandhi/whisper-small-dv](https://huggingface.co/sanchit-gandhi/whisper-small-dv) on the Common Voice 13 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1615
+- Wer Ortho: 58.1169
+- Wer: 11.7189
 
 ## Model description
 
@@ -45,6 +64,13 @@ 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     |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
+| 0.0615        | 1.63  | 500  | 0.1615          | 58.1169   | 11.7189 |
+
+
 ### Framework versions
 
 - Transformers 4.33.0.dev0