End of training

README.md

@@ -6,7 +6,7 @@ base_model: openai/whisper-tiny
 tags:
 - generated_from_trainer
 datasets:
-- ubulut/quran-verses
+- ubulut/quran-verses-lite
 metrics:
 - wer
 model-index:
@@ -16,15 +16,15 @@ model-index:
       name: Automatic Speech Recognition
       type: automatic-speech-recognition
     dataset:
-      name: quran-whisper-dataset
-      type: ubulut/quran-verses
+      name: quran-whisper-dataset-lite
+      type: ubulut/quran-verses-lite
       config: default
       split: None
       args: 'config: ar, split: test'
     metrics:
     - name: Wer
       type: wer
-      value: 85.61643835616438
+      value: 94.30650684931507
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,10 +32,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # Whisper Tiny AR - Quran
 
-This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the quran-whisper-dataset dataset.
+This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the quran-whisper-dataset-lite dataset.
 It achieves the following results on the evaluation set:
-- Loss: 3.8268
-- Wer: 85.6164
+- Loss: 2.2877
+- Wer: 94.3065
 
 ## Model description
 
@@ -54,7 +54,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.0001
+- learning_rate: 1e-05
 - train_batch_size: 16
 - eval_batch_size: 16
 - seed: 42
@@ -66,12 +66,12 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch   | Step | Validation Loss | Wer     |
-|:-------------:|:-------:|:----:|:---------------:|:-------:|
-| 0.0067        | 17.2414 | 1000 | 2.9626          | 87.5    |
-| 0.0022        | 34.4828 | 2000 | 3.5443          | 87.5856 |
-| 0.0           | 51.7241 | 3000 | 3.7999          | 85.6164 |
-| 0.0           | 68.9655 | 4000 | 3.8268          | 85.6164 |
+| Training Loss | Epoch   | Step | Validation Loss | Wer      |
+|:-------------:|:-------:|:----:|:---------------:|:--------:|
+| 0.0026        | 17.2414 | 1000 | 2.0479          | 100.2997 |
+| 0.0004        | 34.4828 | 2000 | 2.1836          | 94.0925  |
+| 0.0002        | 51.7241 | 3000 | 2.2654          | 94.7346  |
+| 0.0001        | 68.9655 | 4000 | 2.2877          | 94.3065  |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:146210dea7771de65a6dae6b229d22f2265643b102403a3e8baedda10cb72fff
+oid sha256:cecf9c4b6969700c09f25eac432dcfdcf48ea04473236e67389d98daffe8397f
 size 151061672