Model save

README.md

@@ -1,27 +1,25 @@
 ---
 library_name: transformers
-language:
-- ar
 license: apache-2.0
-base_model: openai/whisper-base
+base_model: Baselhany/Graduation_Project_distillation_Whisper_base
 tags:
 - generated_from_trainer
 metrics:
 - wer
 model-index:
-- name: Whisper base AR - BA
+- name: Graduation_Project_distillation_Whisper_base
   results: []
 ---
 
 <!-- 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 base AR - BA
+# Graduation_Project_distillation_Whisper_base
 
-This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the quran-ayat-speech-to-text dataset.
+This model is a fine-tuned version of [Baselhany/Graduation_Project_distillation_Whisper_base](https://huggingface.co/Baselhany/Graduation_Project_distillation_Whisper_base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1193
-- Wer: 0.2854
+- Loss: 0.1229
+- Wer: 0.2739
 
 ## Model description
 
@@ -56,21 +54,21 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch   | Step | Validation Loss | Wer    |
 |:-------------:|:-------:|:----:|:---------------:|:------:|
-| 4.8765        | 1.0     | 532  | 0.1115          | 0.2851 |
-| 3.7912        | 2.0     | 1064 | 0.1127          | 0.2814 |
-| 2.8239        | 3.0     | 1596 | 0.1145          | 0.3149 |
-| 2.0315        | 4.0     | 2128 | 0.1117          | 0.2866 |
-| 1.9621        | 5.0     | 2660 | 0.1088          | 0.2773 |
-| 1.6395        | 6.0     | 3192 | 0.1074          | 0.2932 |
-| 1.4638        | 7.0     | 3724 | 0.1064          | 0.3039 |
-| 1.1268        | 8.0     | 4256 | 0.1040          | 0.2991 |
-| 1.0774        | 9.0     | 4788 | 0.1020          | 0.3124 |
-| 1.0211        | 10.0    | 5320 | 0.1031          | 0.2831 |
-| 0.9722        | 11.0    | 5852 | 0.1018          | 0.3242 |
-| 0.8684        | 12.0    | 6384 | 0.1028          | 0.2911 |
-| 0.808         | 13.0    | 6916 | 0.1037          | 0.3263 |
-| 0.7462        | 14.0    | 7448 | 0.1027          | 0.3302 |
-| 0.7689        | 14.9732 | 7965 | 0.1033          | 0.3184 |
+| 3.6759        | 1.0     | 275  | 0.1109          | 0.2857 |
+| 3.1436        | 2.0     | 550  | 0.1130          | 0.2909 |
+| 2.0347        | 3.0     | 825  | 0.1128          | 0.2501 |
+| 1.8977        | 4.0     | 1100 | 0.1071          | 0.2746 |
+| 1.6541        | 5.0     | 1375 | 0.1085          | 0.3029 |
+| 1.3788        | 6.0     | 1650 | 0.1055          | 0.2784 |
+| 1.1847        | 7.0     | 1925 | 0.1073          | 0.2897 |
+| 1.1096        | 8.0     | 2200 | 0.1057          | 0.2987 |
+| 0.9934        | 9.0     | 2475 | 0.1037          | 0.3070 |
+| 0.8838        | 10.0    | 2750 | 0.1072          | 0.2912 |
+| 0.8502        | 11.0    | 3025 | 0.1039          | 0.3032 |
+| 0.7249        | 12.0    | 3300 | 0.1053          | 0.3230 |
+| 0.6989        | 13.0    | 3575 | 0.1050          | 0.2936 |
+| 0.6611        | 14.0    | 3850 | 0.1048          | 0.3020 |
+| 0.6441        | 14.9463 | 4110 | 0.1048          | 0.3039 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:71cfd30d9f51467e745b007140ec0e134fdf126fdf0eac214f64a58b91007a60
+oid sha256:631c464e234ee43333b241c4c39719dc3e21526731748ed4055f69c9378f6303
 size 223144592

runs/Jun19_18-50-31_b7bd342ac5e9/events.out.tfevents.1750376196.b7bd342ac5e9.19.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:95a9413617057fd0ab0fb82c5d4fe81225e3a934d3fdcaf38791249f08b9e5a5
+size 406