End of training

README.md

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+---
+language:
+- ar
+license: apache-2.0
+base_model: openai/whisper-base
+tags:
+- ar-asr-leaderboard
+- generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_15_0
+metrics:
+- wer
+model-index:
+- name: Whisper base ar - spongebob
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 15.0
+      type: mozilla-foundation/common_voice_15_0
+      args: 'config: ar, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 43.07405356570396
+---
+
+<!-- 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 - spongebob
+
+This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the Common Voice 15.0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4649
+- Wer: 43.0741
+
+## 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: 2
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 1500
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.4268        | 0.87  | 500  | 0.5523          | 50.5668 |
+| 0.2877        | 1.73  | 1000 | 0.4752          | 45.1258 |
+| 0.2197        | 2.6   | 1500 | 0.4649          | 43.0741 |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.0

generation_config.json

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+}