update model card README.md

README.md

@@ -1,40 +1,38 @@
 ---
-language:
-- en
+license: apache-2.0
 tags:
-- hf-asr-leaderboard
 - generated_from_trainer
 datasets:
-- tobiolatunji/afrispeech-200
+- afrispeech-200
 metrics:
 - wer
 model-index:
-- name: Ru3ll/dsn_afrispeech3
+- name: dsn_afrispeech-shuffle
   results:
   - task:
       name: Automatic Speech Recognition
       type: automatic-speech-recognition
     dataset:
-      name: Afrispeech-200
-      type: tobiolatunji/afrispeech-200
+      name: afrispeech-200
+      type: afrispeech-200
       config: all
       split: train
-      args: 'config: en, split: test'
+      args: all
     metrics:
     - name: Wer
       type: wer
-      value: 27.04107867222762
+      value: 23.825127429563658
 ---
 
 <!-- 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. -->
 
-# Ru3ll/dsn_afrispeech3
+# dsn_afrispeech-shuffle
 
-This model is a fine-tuned version of [ru3ll/dsn_afrispeech2/whisper-small](https://huggingface.co/ru3ll/dsn_afrispeech2/whisper-small) on the Afrispeech-200 dataset.
+This model is a fine-tuned version of [Ru3ll/dsn_afrispeech2](https://huggingface.co/Ru3ll/dsn_afrispeech2) on the afrispeech-200 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6337
-- Wer: 27.0411
+- Loss: 0.5952
+- Wer: 23.8251
 
 ## Model description
 
@@ -53,7 +51,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 4e-06
+- learning_rate: 3.46e-06
 - train_batch_size: 8
 - eval_batch_size: 16
 - seed: 42
@@ -67,8 +65,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer     |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 0.6437        | 0.5   | 249  | 0.6494          | 25.7499 |
-| 0.4117        | 1.0   | 498  | 0.6337          | 27.0411 |
+| 0.6516        | 0.5   | 249  | 0.6065          | 23.3294 |
+| 0.8152        | 1.0   | 498  | 0.5952          | 23.8251 |
 
 
 ### Framework versions