End of training

README.md

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+---
+language:
+- ar
+license: apache-2.0
+base_model: openai/whisper-tiny
+tags:
+- generated_from_trainer
+datasets:
+- ymoslem/MediaSpeech
+- deepdml/Tunisian_MSA
+- UBC-NLP/Casablanca
+- fixie-ai/common_voice_17_0
+- google/fleurs
+metrics:
+- wer
+model-index:
+- name: Whisper Tiny ar
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 17.0
+      type: ymoslem/MediaSpeech
+    metrics:
+    - name: Wer
+      type: wer
+      value: 60.61585354657461
+---
+
+<!-- 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
+
+This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Common Voice 17.0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7162
+- Wer: 60.6159
+- Cer: 21.8903
+
+## 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: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.04
+- training_steps: 5000
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     | Cer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
+| 0.8928        | 0.2   | 1000 | 0.7965          | 66.8809 | 25.5809 |
+| 0.6731        | 0.4   | 2000 | 0.7496          | 63.1479 | 23.1687 |
+| 0.5235        | 0.6   | 3000 | 0.7214          | 61.6845 | 22.3557 |
+| 0.4641        | 0.8   | 4000 | 0.7161          | 60.8490 | 21.9854 |
+| 0.4296        | 1.0   | 5000 | 0.7162          | 60.6159 | 21.8903 |
+
+
+### Framework versions
+
+- Transformers 4.42.0.dev0
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

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