End of training

README.md

@@ -3,11 +3,23 @@ license: apache-2.0
 base_model: openai/whisper-medium
 tags:
 - generated_from_trainer
+datasets:
+- abdouaziiz/wolof_lam_asr
 metrics:
 - wer
 model-index:
 - name: whisper-m-wo
-  results: []
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: abdouaziiz/wolof_lam_asr
+      type: abdouaziiz/wolof_lam_asr
+    metrics:
+    - name: Wer
+      type: wer
+      value: 0.2595195074616877
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,10 +27,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # whisper-m-wo
 
-This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on an unknown dataset.
+This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the abdouaziiz/wolof_lam_asr dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4883
-- Wer: 0.2429
+- Loss: 0.4811
+- Wer: 0.2595
 
 ## Model description
 

all_results.json

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eval_results.json

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+}

runs/Oct07_16-10-05_bambaraspeechtotext/events.out.tfevents.1728425299.bambaraspeechtotext.21209.1

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+version https://git-lfs.github.com/spec/v1
+oid sha256:53ff1274614fe6af53c78ae1f1b8d2888f367c9ee788eaae2e0fa0e4eb716516
+size 406

train_results.json

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+}

trainer_state.json

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