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_CKP
 tags:
 - generated_from_trainer
 metrics:
 - wer
 model-index:
-- name: Whisper base AR - BA
+- name: Distilation_Whisper_base_CKP
   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_CKP
 
-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_CKP](https://huggingface.co/Baselhany/Distilation_Whisper_base_CKP) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0858
-- Wer: 0.1940
+- Loss: 0.0861
+- Wer: 0.1941
 
 ## Model description
 
@@ -49,7 +47,7 @@ The following hyperparameters were used during training:
 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- num_epochs: 16
+- num_epochs: 22
 - mixed_precision_training: Native AMP
 
 ### Training results
@@ -83,6 +81,16 @@ The following hyperparameters were used during training:
 | 0.7263        | 14.6456 | 25000 | 0.0839          | 0.1824 |
 | 0.7634        | 15.2314 | 26000 | 0.0835          | 0.1826 |
 | 0.7379        | 15.8172 | 27000 | 0.0834          | 0.1829 |
+| 0.7902        | 16.4030 | 28000 | 0.0842          | 0.1811 |
+| 0.8261        | 16.9889 | 29000 | 0.0841          | 0.1849 |
+| 0.7531        | 17.5747 | 30000 | 0.0840          | 0.1867 |
+| 0.7166        | 18.1605 | 31000 | 0.0839          | 0.1905 |
+| 0.7976        | 18.7463 | 32000 | 0.0841          | 0.1838 |
+| 0.7008        | 19.3322 | 33000 | 0.0835          | 0.1864 |
+| 0.707         | 19.9180 | 34000 | 0.0833          | 0.1872 |
+| 0.6865        | 20.5038 | 35000 | 0.0835          | 0.1844 |
+| 0.6927        | 21.0896 | 36000 | 0.0834          | 0.1882 |
+| 0.7014        | 21.6755 | 37000 | 0.0835          | 0.1861 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e8b9281a6b09625fe8ef329d325b3617b261175ce263da64422ce3eb4bf32fc7
+oid sha256:8e9c5b5c507c25afe3cf4d5aec82c7836af315794f646ccd78331b1ef69b9976
 size 223144592

runs/Jun02_16-44-26_19b7ac4bd5d2/events.out.tfevents.1748920330.19b7ac4bd5d2.19.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6bec318ec17c26dd8adb7d913d50a1ae5a9df2cebe45228af3e09aad2385ac17
+size 412