End of training

README.md

@@ -19,12 +19,12 @@ model-index:
       name: Common Voice 16
       type: mozilla-foundation/common_voice_16_1
       config: gn
-      split: test
+      split: None
       args: gn
     metrics:
     - name: Wer
       type: wer
-      value: 64.48061273336525
+      value: 72.71421732886549
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -34,8 +34,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the Common Voice 16 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5847
-- Wer: 64.4806
+- Loss: 0.6278
+- Wer: 72.7142
 
 ## Model description
 
@@ -68,11 +68,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Wer     |
 |:-------------:|:------:|:----:|:---------------:|:-------:|
-| 2.4447        | 0.7692 | 100  | 0.9750          | 88.2001 |
-| 0.6471        | 1.5385 | 200  | 0.7163          | 74.5811 |
-| 0.3822        | 2.3077 | 300  | 0.6274          | 66.7066 |
-| 0.2487        | 3.0769 | 400  | 0.6025          | 66.4911 |
-| 0.1549        | 3.8462 | 500  | 0.5847          | 64.4806 |
+| 2.6628        | 0.0573 | 100  | 1.1337          | 94.6146 |
+| 1.1593        | 0.1147 | 200  | 0.8508          | 75.5385 |
+| 0.9433        | 0.1720 | 300  | 0.7360          | 71.7808 |
+| 0.8171        | 0.2294 | 400  | 0.6978          | 66.9459 |
+| 0.7444        | 0.2867 | 500  | 0.6278          | 72.7142 |
 
 
 ### Framework versions