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: 0.1185
-- Wer: 0.2529
+- Loss: 0.1086
+- Wer: 0.2306
 
 ## Model description
 
@@ -56,21 +54,21 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch   | Step | Validation Loss | Wer    |
 |:-------------:|:-------:|:----:|:---------------:|:------:|
-| 7.591         | 1.0     | 188  | 0.1236          | 0.2903 |
-| 6.3942        | 2.0     | 376  | 0.1248          | 0.2700 |
-| 5.1675        | 3.0     | 564  | 0.1272          | 0.3061 |
-| 4.1369        | 4.0     | 752  | 0.1242          | 0.2557 |
-| 3.42          | 5.0     | 940  | 0.1199          | 0.2605 |
-| 2.9304        | 6.0     | 1128 | 0.1201          | 0.2437 |
-| 2.6141        | 7.0     | 1316 | 0.1195          | 0.2443 |
-| 2.2745        | 8.0     | 1504 | 0.1177          | 0.2448 |
-| 2.1319        | 9.0     | 1692 | 0.1173          | 0.2402 |
-| 1.9556        | 10.0    | 1880 | 0.1174          | 0.2530 |
-| 1.7922        | 11.0    | 2068 | 0.1165          | 0.2373 |
-| 1.7604        | 12.0    | 2256 | 0.1164          | 0.2340 |
-| 1.6353        | 13.0    | 2444 | 0.1151          | 0.2340 |
-| 1.5943        | 14.0    | 2632 | 0.1150          | 0.2336 |
-| 1.5228        | 14.9227 | 2805 | 0.1151          | 0.2333 |
+| 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 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:469a892bcab004f6d3efef024ec0f4189be0011917734fea035e1ad7e3c48d49
+oid sha256:e5f9ed0a72e175a3d44f26ab00f3d1c76e8aa91a702d715e9f6e627fbbccc9e8
 size 223144592

runs/May31_10-20-36_349a22f725e3/events.out.tfevents.1748723862.349a22f725e3.19.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d6fa5fced0028675f2c40fb48c7409eb7082ffaf3a821d04ea92ba0b095f1381
+size 406