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: 0.0903
-- Wer: 0.1972
+- Loss: 0.0897
+- Wer: 0.1988
 
 ## 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: 15
+- num_epochs: 20
 - mixed_precision_training: Native AMP
 
 ### Training results
@@ -119,6 +117,27 @@ The following hyperparameters were used during training:
 | 0.9282        | 14.4635 | 24400 | 0.0880          | 0.2025 |
 | 0.922         | 14.7007 | 24800 | 0.0880          | 0.2009 |
 | 0.8976        | 14.9378 | 25200 | 0.0878          | 0.2016 |
+| 0.9299        | 15.1749 | 25600 | 0.0885          | 0.2025 |
+| 0.9786        | 15.4120 | 26000 | 0.0878          | 0.1992 |
+| 0.992         | 15.6491 | 26400 | 0.0885          | 0.2017 |
+| 1.002         | 15.8862 | 26800 | 0.0880          | 0.1978 |
+| 0.9183        | 16.1233 | 27200 | 0.0882          | 0.2031 |
+| 0.9715        | 16.3604 | 27600 | 0.0883          | 0.2050 |
+| 0.8899        | 16.5975 | 28000 | 0.0881          | 0.2023 |
+| 0.9589        | 16.8346 | 28400 | 0.0880          | 0.2006 |
+| 0.8958        | 17.0717 | 28800 | 0.0881          | 0.1981 |
+| 0.9416        | 17.3088 | 29200 | 0.0875          | 0.1992 |
+| 0.8884        | 17.5459 | 29600 | 0.0877          | 0.1998 |
+| 0.8735        | 17.7830 | 30000 | 0.0873          | 0.1948 |
+| 0.9706        | 18.0202 | 30400 | 0.0876          | 0.1933 |
+| 0.8571        | 18.2573 | 30800 | 0.0872          | 0.1982 |
+| 0.913         | 18.4944 | 31200 | 0.0871          | 0.1986 |
+| 0.9239        | 18.7315 | 31600 | 0.0872          | 0.1948 |
+| 0.8846        | 18.9686 | 32000 | 0.0875          | 0.2001 |
+| 0.8666        | 19.2057 | 32400 | 0.0873          | 0.2009 |
+| 0.8834        | 19.4428 | 32800 | 0.0874          | 0.1981 |
+| 0.8454        | 19.6799 | 33200 | 0.0873          | 0.1979 |
+| 0.8416        | 19.9170 | 33600 | 0.0872          | 0.2003 |
 
 
 ### Framework versions

runs/May26_06-15-02_f3fc904fc031/events.out.tfevents.1748273005.f3fc904fc031.19.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bc9686438890a69628219adf69d9711c36151fe6cf406eef8ca4913c51b4deb3
+size 412