End of training

README.md

@@ -2,12 +2,12 @@
 language:
 - vi
 license: apache-2.0
+base_model: openai/whisper-small
 tags:
 - hf-asr-leaderboard
 - generated_from_trainer
 metrics:
 - wer
-base_model: openai/whisper-small
 model-index:
 - name: Whisper Small Mnong
   results: []
@@ -20,8 +20,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the MnongAudio dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.0749
-- Wer: 59.5216
+- Loss: 0.6962
+- Wer: 70.8168
 
 ## Model description
 
@@ -54,10 +54,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer     |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 0.293         | 5.92  | 1000 | 1.0033          | 73.6891 |
-| 0.0091        | 11.83 | 2000 | 1.0491          | 66.0534 |
-| 0.0005        | 17.75 | 3000 | 1.0669          | 59.4296 |
-| 0.0004        | 23.67 | 4000 | 1.0749          | 59.5216 |
+| 0.2669        | 5.68  | 1000 | 0.9000          | 95.4798 |
+| 0.0089        | 11.36 | 2000 | 0.7245          | 78.5884 |
+| 0.0006        | 17.05 | 3000 | 0.6921          | 77.2403 |
+| 0.0004        | 22.73 | 4000 | 0.6962          | 70.8168 |
 
 
 ### Framework versions