End of training

README.md

@@ -10,7 +10,7 @@ datasets:
 metrics:
 - wer
 model-index:
-- name: BANG - v1
+- name: BANG - v2 (EN)
   results:
   - task:
       name: Automatic Speech Recognition
@@ -18,24 +18,24 @@ model-index:
     dataset:
       name: Radio-Modified Common Voice 11.0
       type: mozilla-foundation/common_voice_11_0
-      config: hi
+      config: en
       split: test
       args: 'config: en, split: test'
     metrics:
     - name: Wer
       type: wer
-      value: 3.2167950562939134
+      value: 20.561047043748857
 ---
 
 <!-- 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. -->
 
-# BANG - v1
+# BANG - v2 (EN)
 
 This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the Radio-Modified Common Voice 11.0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0031
-- Wer: 3.2168
+- Loss: 0.2650
+- Wer: 20.5610
 
 ## Model description
 
@@ -66,12 +66,12 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch   | Step | Validation Loss | Wer     |
-|:-------------:|:-------:|:----:|:---------------:|:-------:|
-| 0.2164        | 5.0237  | 1000 | 0.1425          | 23.3895 |
-| 0.0328        | 11.0023 | 2000 | 0.0373          | 9.2948  |
-| 0.0134        | 16.026  | 3000 | 0.0078          | 5.3966  |
-| 0.0021        | 22.0045 | 4000 | 0.0031          | 3.2168  |
+| Training Loss | Epoch  | Step | Validation Loss | Wer     |
+|:-------------:|:------:|:----:|:---------------:|:-------:|
+| 0.7709        | 0.25   | 1000 | 0.6383          | 35.6607 |
+| 0.4424        | 1.2443 | 2000 | 0.4248          | 26.8037 |
+| 0.2823        | 2.2385 | 3000 | 0.3117          | 22.4425 |
+| 0.2429        | 3.2328 | 4000 | 0.2650          | 20.5610 |
 
 
 ### Framework versions