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/Graduation_Project_distillation_Whisper_base2
 tags:
 - generated_from_trainer
 metrics:
 - wer
 model-index:
-- name: Whisper base AR - BA
+- name: Graduation_Project_distillation_Whisper_base2
   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
+# Graduation_Project_distillation_Whisper_base2
 
-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/Graduation_Project_distillation_Whisper_base2](https://huggingface.co/Baselhany/Graduation_Project_distillation_Whisper_base2) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0040
-- Wer: 0.0613
+- Loss: 0.0030
+- Wer: 0.0469
 
 ## Model description
 
@@ -49,23 +47,18 @@ 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: 10
+- num_epochs: 5
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch  | Step | Validation Loss | Wer    |
 |:-------------:|:------:|:----:|:---------------:|:------:|
-| 0.75          | 1.0    | 285  | 0.0051          | 0.0655 |
-| 0.6367        | 2.0    | 570  | 0.0057          | 0.0711 |
-| 0.3656        | 3.0    | 855  | 0.0055          | 0.0677 |
-| 0.2944        | 4.0    | 1140 | 0.0057          | 0.0719 |
-| 0.2291        | 5.0    | 1425 | 0.0053          | 0.0656 |
-| 0.1613        | 6.0    | 1710 | 0.0053          | 0.0655 |
-| 0.1531        | 7.0    | 1995 | 0.0052          | 0.0670 |
-| 0.1173        | 8.0    | 2280 | 0.0051          | 0.0708 |
-| 0.0836        | 9.0    | 2565 | 0.0051          | 0.0704 |
-| 0.065         | 9.9675 | 2840 | 0.0051          | 0.0681 |
+| 0.8867        | 1.0    | 687  | 0.0047          | 0.0649 |
+| 0.5967        | 2.0    | 1374 | 0.0041          | 0.0571 |
+| 0.3371        | 3.0    | 2061 | 0.0040          | 0.0518 |
+| 0.2074        | 4.0    | 2748 | 0.0037          | 0.0501 |
+| 0.1391        | 4.9938 | 3430 | 0.0037          | 0.0484 |
 
 
 ### Framework versions

runs/Jun22_20-48-00_146a654ac07f/events.out.tfevents.1750639332.146a654ac07f.19.1

@@ -0,0 +1,3 @@
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+oid sha256:55c5e80a5243c95e3b972dc6439d773474b977ef41f3620899069c35495874c1
+size 406