End of training

README.md

@@ -2,38 +2,38 @@
 language:
 - ar
 license: apache-2.0
+base_model: openai/whisper-small
 tags:
 - generated_from_trainer
-base_model: tarteel-ai/whisper-base-ar-quran
 datasets:
 - zolfa
 metrics:
 - wer
 model-index:
-- name: Whisper-raghadomar
+- name: Zolfa-raghadomar
   results:
   - task:
-      type: automatic-speech-recognition
       name: Automatic Speech Recognition
+      type: automatic-speech-recognition
     dataset:
       name: Zolfa Dataset
       type: zolfa
       args: 'config: ar, split: test'
     metrics:
-    - type: wer
-      value: 6.896551724137931
-      name: Wer
+    - name: Wer
+      type: wer
+      value: 8.571428571428571
 ---
 
 <!-- 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. -->
 
-# Whisper-raghadomar
+# Zolfa-raghadomar
 
-This model is a fine-tuned version of [tarteel-ai/whisper-base-ar-quran](https://huggingface.co/tarteel-ai/whisper-base-ar-quran) on the Zolfa Dataset dataset.
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Zolfa Dataset dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0208
-- Wer: 6.8966
+- Loss: 0.2371
+- Wer: 8.5714
 
 ## Model description
 
@@ -64,18 +64,18 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch  | Step | Validation Loss | Wer    |
-|:-------------:|:------:|:----:|:---------------:|:------:|
-| 0.0191        | 0.7143 | 100  | 0.0403          | 6.8966 |
-| 0.0065        | 1.4286 | 200  | 0.0149          | 6.8966 |
-| 0.009         | 2.1429 | 300  | 0.0263          | 6.8966 |
-| 0.0106        | 2.8571 | 400  | 0.0417          | 6.8966 |
-| 0.0011        | 3.5714 | 500  | 0.0195          | 6.8966 |
-| 0.0028        | 4.2857 | 600  | 0.0223          | 6.8966 |
-| 0.0001        | 5.0    | 700  | 0.0188          | 6.8966 |
-| 0.0017        | 5.7143 | 800  | 0.0212          | 6.8966 |
-| 0.0001        | 6.4286 | 900  | 0.0199          | 6.8966 |
-| 0.0009        | 7.1429 | 1000 | 0.0208          | 6.8966 |
+| Training Loss | Epoch  | Step | Validation Loss | Wer     |
+|:-------------:|:------:|:----:|:---------------:|:-------:|
+| 0.0671        | 0.6993 | 100  | 0.2041          | 12.8571 |
+| 0.0247        | 1.3986 | 200  | 0.2290          | 10.4082 |
+| 0.0071        | 2.0979 | 300  | 0.2219          | 9.7959  |
+| 0.0102        | 2.7972 | 400  | 0.2215          | 26.9388 |
+| 0.0046        | 3.4965 | 500  | 0.2192          | 8.5714  |
+| 0.005         | 4.1958 | 600  | 0.2401          | 9.1837  |
+| 0.0074        | 4.8951 | 700  | 0.2296          | 7.9592  |
+| 0.0006        | 5.5944 | 800  | 0.2363          | 9.1837  |
+| 0.0002        | 6.2937 | 900  | 0.2366          | 8.5714  |
+| 0.0013        | 6.9930 | 1000 | 0.2371          | 8.5714  |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:bf0e2d97399502442ac679edf810b5fd2366b3b4f77e7cdede3215b04a13b5f5
+oid sha256:f5c2f59d43ef1a593d2dfce80b8bdb1153d81bb7931705228f3af4aec17b778c
 size 966995080