End of training

README.md

@@ -0,0 +1,84 @@
+---
+library_name: transformers
+license: apache-2.0
+base_model: openai/whisper-large-v2
+tags:
+- generated_from_trainer
+datasets:
+- MohamedRashad/arabic-english-code-switching
+metrics:
+- wer
+model-index:
+- name: Whisper Large ArabicEnglish - Mostafa Khedr
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: arabic-english-code-switching
+      type: MohamedRashad/arabic-english-code-switching
+    metrics:
+    - name: Wer
+      type: wer
+      value: 31.61836083760921
+---
+
+<!-- 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 Large ArabicEnglish - Mostafa Khedr
+
+This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the arabic-english-code-switching dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7108
+- Wer: 31.6184
+
+## 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: 8
+- eval_batch_size: 16
+- seed: 42
+- 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
+- training_steps: 10000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step  | Validation Loss | Wer     |
+|:-------------:|:------:|:-----:|:---------------:|:-------:|
+| 0.558         | 0.6748 | 1000  | 0.5802          | 46.1378 |
+| 0.3725        | 1.3495 | 2000  | 0.5258          | 43.1008 |
+| 0.2131        | 2.0243 | 3000  | 0.5152          | 34.4890 |
+| 0.204         | 2.6991 | 4000  | 0.5111          | 37.8727 |
+| 0.1012        | 3.3738 | 5000  | 0.5475          | 34.1839 |
+| 0.0593        | 4.0486 | 6000  | 0.5693          | 33.2686 |
+| 0.0436        | 4.7233 | 7000  | 0.5895          | 33.0190 |
+| 0.0189        | 5.3981 | 8000  | 0.6472          | 31.9235 |
+| 0.0063        | 6.0729 | 9000  | 0.6850          | 32.2701 |
+| 0.0046        | 6.7476 | 10000 | 0.7108          | 31.6184 |
+
+
+### Framework versions
+
+- Transformers 4.46.3
+- Pytorch 2.5.1+cu124
+- Datasets 3.1.0
+- Tokenizers 0.20.3

generation_config.json

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+}