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: 0.0746
-- Wer: 0.2358
+- Loss: 0.0685
+- Wer: 0.2218
 
 ## Model description
 
@@ -54,23 +52,23 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch   | Step | Validation Loss | Wer    |
-|:-------------:|:-------:|:----:|:---------------:|:------:|
-| 0.397         | 1.0     | 469  | 0.0686          | 0.2067 |
-| 0.3526        | 2.0     | 938  | 0.0674          | 0.2345 |
-| 0.3181        | 3.0     | 1407 | 0.0711          | 0.2225 |
-| 0.2689        | 4.0     | 1876 | 0.0724          | 0.2273 |
-| 0.2044        | 5.0     | 2345 | 0.0687          | 0.2366 |
-| 0.184         | 6.0     | 2814 | 0.0676          | 0.2165 |
-| 0.1404        | 7.0     | 3283 | 0.0673          | 0.2230 |
-| 0.1461        | 8.0     | 3752 | 0.0657          | 0.2049 |
-| 0.1269        | 9.0     | 4221 | 0.0662          | 0.2055 |
-| 0.1089        | 10.0    | 4690 | 0.0668          | 0.2070 |
-| 0.0835        | 11.0    | 5159 | 0.0639          | 0.2049 |
-| 0.0693        | 12.0    | 5628 | 0.0656          | 0.2152 |
-| 0.054         | 13.0    | 6097 | 0.0654          | 0.2160 |
-| 0.0419        | 14.0    | 6566 | 0.0662          | 0.2029 |
-| 0.0342        | 14.9685 | 7020 | 0.0668          | 0.2180 |
+| Training Loss | Epoch | Step | Validation Loss | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.8881        | 1.0   | 540  | 0.0607          | 0.1950 |
+| 0.6501        | 2.0   | 1080 | 0.0642          | 0.2325 |
+| 0.5269        | 3.0   | 1620 | 0.0658          | 0.2265 |
+| 0.3424        | 4.0   | 2160 | 0.0677          | 0.2203 |
+| 0.2664        | 5.0   | 2700 | 0.0677          | 0.1974 |
+| 0.2087        | 6.0   | 3240 | 0.0667          | 0.2167 |
+| 0.1826        | 7.0   | 3780 | 0.0643          | 0.2270 |
+| 0.1519        | 8.0   | 4320 | 0.0616          | 0.2032 |
+| 0.1189        | 9.0   | 4860 | 0.0643          | 0.2147 |
+| 0.1159        | 10.0  | 5400 | 0.0628          | 0.2208 |
+| 0.0945        | 11.0  | 5940 | 0.0619          | 0.2163 |
+| 0.0824        | 12.0  | 6480 | 0.0633          | 0.2123 |
+| 0.0587        | 13.0  | 7020 | 0.0635          | 0.1992 |
+| 0.0472        | 14.0  | 7560 | 0.0634          | 0.2065 |
+| 0.0389        | 15.0  | 8100 | 0.0640          | 0.2010 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f310eb636678ce5be656611dfbe679af94cbf5a2ede6ded7241793c07f79926d
+oid sha256:a7749b45e0cb99750d03559b984dc3521c6a32a10e9c580de775bbfc4b972b21
 size 223144592

runs/Jun21_16-04-31_f11ed43d8152/events.out.tfevents.1750552583.f11ed43d8152.19.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:637c30345bdec57210f9967e02449442412a93e3a455eef8638b6f0df7775fff
+size 406