Training finished

README.md

@@ -3,26 +3,26 @@ library_name: transformers
 language:
 - ar
 license: apache-2.0
-base_model: openai/whisper-tiny
+base_model: openai/whisper-base
 tags:
 - generated_from_trainer
 metrics:
 - wer
 model-index:
-- name: Whisper tiny AR - BH
+- name: Whisper base AR - BH
   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 tiny AR - BH
+# Whisper base AR - BH
 
-This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the quran-ayat-speech-to-text dataset.
+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.
 It achieves the following results on the evaluation set:
 - Loss: 0.0103
-- Wer: 10.6202
-- Cer: 3.3954
+- Wer: 10.6273
+- Cer: 3.4002
 
 ## Model description
 
@@ -50,7 +50,7 @@ The following hyperparameters were used during training:
 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: cosine
 - lr_scheduler_warmup_steps: 500
-- num_epochs: 1
+- training_steps: 1400
 - mixed_precision_training: Native AMP
 
 ### Training results
@@ -69,8 +69,8 @@ The following hyperparameters were used during training:
 | 0.0059        | 0.7042 | 2000 | 4.2984  | 0.0117          | 13.2643 |
 | 0.0052        | 0.7746 | 2200 | 4.0641  | 0.0111          | 12.5892 |
 | 0.0041        | 0.8450 | 2400 | 3.8254  | 0.0109          | 11.9527 |
-| 0.0043        | 0.9154 | 2600 | 0.0105  | 11.8177         | 3.8392  |
-| 0.004         | 0.9858 | 2800 | 0.0105  | 11.7406         | 3.7978  |
+| 0.0043        | 0.9154 | 2600 | 3.8392  | 0.0105          | 11.8177 |
+| 0.004         | 0.9858 | 2800 | 3.7978  | 0.0105          | 11.7406 |
 
 
 ### Framework versions

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "openai/whisper-base",
+  "_name_or_path": "Baselhany/Whisper_base_fine_tune_Quran",
   "activation_dropout": 0.0,
   "activation_function": "gelu",
   "apply_spec_augment": false,

model.safetensors

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 size 290403936

runs/Feb14_14-49-44_b73964a684bd/events.out.tfevents.1739544586.b73964a684bd.18.0

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runs/Feb14_14-49-44_b73964a684bd/events.out.tfevents.1739548411.b73964a684bd.18.1

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training_args.bin

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 size 5560