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/Distilation_Whisper_base_bigger_batch_size
 tags:
 - generated_from_trainer
 metrics:
 - wer
 model-index:
-- name: Whisper base AR - BA
+- name: Distilation_Whisper_base_bigger_batch_size
   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
+# Distilation_Whisper_base_bigger_batch_size
 
-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/Distilation_Whisper_base_bigger_batch_size](https://huggingface.co/Baselhany/Distilation_Whisper_base_bigger_batch_size) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1086
-- Wer: 0.2306
+- Loss: 0.1077
+- Wer: 0.2309
 
 ## Model description
 
@@ -56,21 +54,21 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch   | Step | Validation Loss | Wer    |
 |:-------------:|:-------:|:----:|:---------------:|:------:|
-| 4.4028        | 0.9969  | 201  | 0.1136          | 0.2378 |
-| 3.9934        | 1.9969  | 402  | 0.1106          | 0.2454 |
-| 3.53          | 2.9969  | 603  | 0.1148          | 0.2350 |
-| 2.9033        | 3.9969  | 804  | 0.1110          | 0.2202 |
-| 2.5198        | 4.9969  | 1005 | 0.1119          | 0.2266 |
-| 2.1137        | 5.9969  | 1206 | 0.1069          | 0.2263 |
-| 1.9109        | 6.9969  | 1407 | 0.1065          | 0.2280 |
-| 1.7707        | 7.9969  | 1608 | 0.1068          | 0.2213 |
-| 1.6554        | 8.9969  | 1809 | 0.1051          | 0.2238 |
-| 1.5388        | 9.9969  | 2010 | 0.1058          | 0.2243 |
-| 1.4748        | 10.9969 | 2211 | 0.1043          | 0.2188 |
-| 1.3728        | 11.9969 | 2412 | 0.1049          | 0.2159 |
-| 1.3257        | 12.9969 | 2613 | 0.1045          | 0.2263 |
-| 1.2725        | 13.9969 | 2814 | 0.1043          | 0.2197 |
-| 1.2428        | 14.9969 | 3015 | 0.1043          | 0.2182 |
+| 3.3412        | 1.0     | 157  | 0.1041          | 0.2149 |
+| 3.0121        | 2.0     | 314  | 0.1054          | 0.2123 |
+| 2.6811        | 3.0     | 471  | 0.1033          | 0.2079 |
+| 2.2468        | 4.0     | 628  | 0.1062          | 0.2163 |
+| 2.1438        | 5.0     | 785  | 0.1029          | 0.2168 |
+| 1.8098        | 6.0     | 942  | 0.1035          | 0.2131 |
+| 1.7488        | 7.0     | 1099 | 0.1023          | 0.2190 |
+| 1.52          | 8.0     | 1256 | 0.1020          | 0.2116 |
+| 1.431         | 9.0     | 1413 | 0.1013          | 0.2112 |
+| 1.3151        | 10.0    | 1570 | 0.1005          | 0.2168 |
+| 1.2219        | 11.0    | 1727 | 0.1011          | 0.2107 |
+| 1.1879        | 12.0    | 1884 | 0.1003          | 0.2097 |
+| 1.1158        | 13.0    | 2041 | 0.1007          | 0.2098 |
+| 1.0995        | 14.0    | 2198 | 0.0998          | 0.2095 |
+| 1.0596        | 14.9088 | 2340 | 0.1001          | 0.2107 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2599580877dca216ef717f5b411a525761119371989dda2e18520915493c12d1
+oid sha256:7ae1737da737c9f68b7638642655fef19f1113989dbb387e922630b01ec35076
 size 223144592

runs/Jun01_09-01-47_a46f3bf825c6/events.out.tfevents.1748798995.a46f3bf825c6.19.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e1d8f8088d21368227b7ac7dc3c0294351d9b6ec7b383981f50271a57bd28e62
+size 406