End of training

README.md

@@ -1,27 +1,11 @@
 ---
-language:
-- ar
-license: apache-2.0
-base_model: openai/whisper-tiny
 tags:
 - generated_from_trainer
-datasets:
-- tarteel-ai/everyayah
 metrics:
 - wer
 model-index:
 - name: quran-whisper-ar-tiny-1
-  results:
-  - task:
-      name: Automatic Speech Recognition
-      type: automatic-speech-recognition
-    dataset:
-      name: tarteel-ai/everyayah
-      type: tarteel-ai/everyayah
-    metrics:
-    - name: Wer
-      type: wer
-      value: 164.83516483516482
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -29,10 +13,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # quran-whisper-ar-tiny-1
 
-This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the tarteel-ai/everyayah dataset.
+This model was trained from scratch on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5858
-- Wer: 164.8352
+- Loss: 1.0968
+- Wer: 174.7253
 
 ## Model description
 

all_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 1.0,
+    "eval_loss": 1.0968444347381592,
+    "eval_runtime": 13.2034,
+    "eval_samples_per_second": 0.757,
+    "eval_steps_per_second": 0.151,
+    "eval_wer": 174.72527472527472
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 1.0,
+    "eval_loss": 1.0968444347381592,
+    "eval_runtime": 13.2034,
+    "eval_samples_per_second": 0.757,
+    "eval_steps_per_second": 0.151,
+    "eval_wer": 174.72527472527472
+}

runs/Jun25_03-34-16_d48de5a64051/events.out.tfevents.1719287694.d48de5a64051.34.1

@@ -0,0 +1,3 @@
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+oid sha256:47440639eb3fad6f18a858efcb47e9b6aafecec7cd4e1757aec21fba71f8d034
+size 400