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_base2
 tags:
 - generated_from_trainer
 metrics:
 - wer
 model-index:
-- name: Whisper base AR - BA
+- name: Graduation_Project_distillation_Whisper_base2
   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_base2
 
-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_base2](https://huggingface.co/Baselhany/Graduation_Project_distillation_Whisper_base2) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1137
-- Wer: 0.3256
+- Loss: 0.1029
+- Wer: 0.3160
 
 ## Model description
 
@@ -56,21 +54,21 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch   | Step | Validation Loss | Wer    |
 |:-------------:|:-------:|:----:|:---------------:|:------:|
-| 1.4157        | 1.0     | 275  | 0.0839          | 0.3214 |
-| 1.1047        | 2.0     | 550  | 0.0873          | 0.3172 |
-| 0.5408        | 3.0     | 825  | 0.1022          | 0.3471 |
-| 0.3988        | 4.0     | 1100 | 0.0975          | 0.2972 |
-| 0.3348        | 5.0     | 1375 | 0.1039          | 0.2949 |
-| 0.2541        | 6.0     | 1650 | 0.1021          | 0.3119 |
-| 0.1971        | 7.0     | 1925 | 0.1060          | 0.2991 |
-| 0.1938        | 8.0     | 2200 | 0.0951          | 0.3087 |
-| 0.158         | 9.0     | 2475 | 0.0959          | 0.3255 |
-| 0.1181        | 10.0    | 2750 | 0.0950          | 0.3154 |
-| 0.1031        | 11.0    | 3025 | 0.0956          | 0.3250 |
-| 0.0729        | 12.0    | 3300 | 0.0944          | 0.3025 |
-| 0.0699        | 13.0    | 3575 | 0.0944          | 0.2977 |
-| 0.0508        | 14.0    | 3850 | 0.0958          | 0.3040 |
-| 0.0442        | 14.9463 | 4110 | 0.0966          | 0.3172 |
+| 1.298         | 1.0     | 579  | 0.0780          | 0.2768 |
+| 0.9187        | 2.0     | 1158 | 0.0879          | 0.3235 |
+| 0.4929        | 3.0     | 1737 | 0.0932          | 0.2956 |
+| 0.3892        | 4.0     | 2316 | 0.0968          | 0.2999 |
+| 0.301         | 5.0     | 2895 | 0.0927          | 0.2723 |
+| 0.2307        | 6.0     | 3474 | 0.0923          | 0.2992 |
+| 0.1771        | 7.0     | 4053 | 0.0900          | 0.2887 |
+| 0.1545        | 8.0     | 4632 | 0.0874          | 0.2861 |
+| 0.1433        | 9.0     | 5211 | 0.0856          | 0.3164 |
+| 0.1278        | 10.0    | 5790 | 0.0852          | 0.2768 |
+| 0.0916        | 11.0    | 6369 | 0.0868          | 0.2994 |
+| 0.0825        | 12.0    | 6948 | 0.0837          | 0.2929 |
+| 0.0747        | 13.0    | 7527 | 0.0859          | 0.3042 |
+| 0.0545        | 14.0    | 8106 | 0.0870          | 0.2926 |
+| 0.0443        | 14.9754 | 8670 | 0.0876          | 0.3090 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0cb9aabced122865a85fb920742b5f616c4447ac76f119f299e18bc8495a69b2
+oid sha256:02bbc250bd9b8ca4be77de25d0db914071f4c7b4d9dda002d6405479e9c154bb
 size 223144592

runs/Jun19_23-51-25_9df7abaee3ea/events.out.tfevents.1750409716.9df7abaee3ea.19.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ec8a91995377b038e80552df1ce1b71b4e7ce8de26182fb758fb4e9600a36f8e
+size 406