End of training

README.md

@@ -0,0 +1,86 @@
+---
+language:
+- ara
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- hf-asr-leaderboard
+- generated_from_trainer
+datasets:
+- AsemBadr/GP
+metrics:
+- wer
+model-index:
+- name: Whisper Small for Quran Recognition
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Quran_Reciters
+      type: AsemBadr/GP
+      config: default
+      split: test
+      args: 'config: default, split: train'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 9.059652741963212
+---
+
+<!-- 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 Small for Quran Recognition
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Quran_Reciters dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0275
+- Wer: 9.0597
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 1e-05
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 4000
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.075         | 1.62  | 500  | 0.0741          | 24.0846 |
+| 0.006         | 3.24  | 1000 | 0.0345          | 12.3259 |
+| 0.0016        | 4.85  | 1500 | 0.0273          | 9.7817  |
+| 0.0004        | 6.47  | 2000 | 0.0266          | 9.1800  |
+| 0.0002        | 8.09  | 2500 | 0.0268          | 9.0253  |
+| 0.0002        | 9.71  | 3000 | 0.0274          | 9.0425  |
+| 0.0002        | 11.33 | 3500 | 0.0275          | 9.0597  |
+| 0.0001        | 12.94 | 4000 | 0.0275          | 9.0597  |
+
+
+### Framework versions
+
+- Transformers 4.40.0.dev0
+- Pytorch 2.1.2
+- Datasets 2.17.1
+- Tokenizers 0.15.2

generation_config.json

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+  "forced_decoder_ids": [
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+    [
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+  ],
+  "is_multilingual": true,
+  "lang_to_id": {
+    "<|af|>": 50327,
+    "<|am|>": 50334,
+    "<|ar|>": 50272,
+    "<|as|>": 50350,
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+  "transformers_version": "4.40.0.dev0"
+}

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