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_256
 tags:
 - generated_from_trainer
 metrics:
 - wer
 model-index:
-- name: Whisper base AR - BA
+- name: Distilation_Whisper_base_CKP_256
   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_256
 
-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_256](https://huggingface.co/Baselhany/Distilation_Whisper_base_CKP_256) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0937
-- Wer: 0.2022
+- Loss: 0.0896
+- Wer: 0.2038
 
 ## 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: 12
+- num_epochs: 18
 - mixed_precision_training: Native AMP
 
 ### Training results
@@ -76,6 +74,16 @@ The following hyperparameters were used during training:
 | 1.0489        | 10.6698 | 18000 | 0.0881          | 0.2009 |
 | 0.9598        | 11.2626 | 19000 | 0.0881          | 0.2026 |
 | 1.059         | 11.8554 | 20000 | 0.0881          | 0.1995 |
+| 1.0843        | 12.4481 | 21000 | 0.0884          | 0.1979 |
+| 1.0189        | 13.0409 | 22000 | 0.0878          | 0.2056 |
+| 1.0068        | 13.6337 | 23000 | 0.0883          | 0.2032 |
+| 0.9681        | 14.2264 | 24000 | 0.0875          | 0.1986 |
+| 1.001         | 14.8192 | 25000 | 0.0877          | 0.2051 |
+| 0.9266        | 15.4120 | 26000 | 0.0868          | 0.2010 |
+| 0.9837        | 16.0047 | 27000 | 0.0872          | 0.2103 |
+| 0.8382        | 16.5975 | 28000 | 0.0871          | 0.2003 |
+| 0.8399        | 17.1903 | 29000 | 0.0872          | 0.1989 |
+| 0.8303        | 17.7830 | 30000 | 0.0871          | 0.2022 |
 
 
 ### Framework versions

runs/Jun10_02-46-50_7a88157cd2a4/events.out.tfevents.1749560922.7a88157cd2a4.19.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3773c6d4dc75449845758bcff43628b42ab880e9db76afd50f1a10a9c6b4c62d
+size 412