Model save

README.md

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+---
+license: apache-2.0
+base_model: openai/whisper-large-v3
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: Sep29-Mixat-whisper-lg-3-translation-0.1trainasval
+  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. -->
+
+# Sep29-Mixat-whisper-lg-3-translation-0.1trainasval
+
+This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8625
+- Wer: 46.4677
+
+## 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: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 100
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Wer     |
+|:-------------:|:-------:|:----:|:---------------:|:-------:|
+| 0.8851        | 0.4762  | 100  | 0.6177          | 57.9329 |
+| 0.5912        | 0.9524  | 200  | 0.5425          | 55.1678 |
+| 0.4614        | 1.4286  | 300  | 0.5272          | 49.1317 |
+| 0.466         | 1.9048  | 400  | 0.5086          | 48.0863 |
+| 0.3466        | 2.3810  | 500  | 0.5289          | 46.4003 |
+| 0.3488        | 2.8571  | 600  | 0.5107          | 44.7311 |
+| 0.2382        | 3.3333  | 700  | 0.5503          | 44.7648 |
+| 0.2208        | 3.8095  | 800  | 0.5494          | 47.0578 |
+| 0.1624        | 4.2857  | 900  | 0.5938          | 45.3718 |
+| 0.1237        | 4.7619  | 1000 | 0.5893          | 45.4055 |
+| 0.0966        | 5.2381  | 1100 | 0.6492          | 45.2032 |
+| 0.0712        | 5.7143  | 1200 | 0.6321          | 43.5003 |
+| 0.0614        | 6.1905  | 1300 | 0.6663          | 46.0968 |
+| 0.0422        | 6.6667  | 1400 | 0.6621          | 45.1526 |
+| 0.0423        | 7.1429  | 1500 | 0.6943          | 44.7142 |
+| 0.0292        | 7.6190  | 1600 | 0.6971          | 45.5572 |
+| 0.0311        | 8.0952  | 1700 | 0.7240          | 45.3212 |
+| 0.022         | 8.5714  | 1800 | 0.7203          | 44.8828 |
+| 0.0252        | 9.0476  | 1900 | 0.7415          | 46.6026 |
+| 0.0186        | 9.5238  | 2000 | 0.7361          | 45.4224 |
+| 0.0189        | 10.0    | 2100 | 0.7539          | 46.2148 |
+| 0.0133        | 10.4762 | 2200 | 0.7797          | 44.9671 |
+| 0.0188        | 10.9524 | 2300 | 0.7688          | 45.4392 |
+| 0.0138        | 11.4286 | 2400 | 0.7763          | 44.7985 |
+| 0.013         | 11.9048 | 2500 | 0.7762          | 45.0008 |
+| 0.0121        | 12.3810 | 2600 | 0.7999          | 43.0787 |
+| 0.0132        | 12.8571 | 2700 | 0.7931          | 43.7194 |
+| 0.011         | 13.3333 | 2800 | 0.8111          | 46.0293 |
+| 0.0113        | 13.8095 | 2900 | 0.7986          | 44.2084 |
+| 0.0111        | 14.2857 | 3000 | 0.7936          | 43.0787 |
+| 0.0097        | 14.7619 | 3100 | 0.8021          | 45.1357 |
+| 0.0105        | 15.2381 | 3200 | 0.8137          | 46.2991 |
+| 0.0101        | 15.7143 | 3300 | 0.8118          | 44.2590 |
+| 0.0095        | 16.1905 | 3400 | 0.8126          | 43.8375 |
+| 0.007         | 16.6667 | 3500 | 0.8326          | 45.1357 |
+| 0.0077        | 17.1429 | 3600 | 0.8108          | 43.6520 |
+| 0.0059        | 17.6190 | 3700 | 0.8436          | 44.6805 |
+| 0.0071        | 18.0952 | 3800 | 0.8633          | 44.8997 |
+| 0.0064        | 18.5714 | 3900 | 0.8487          | 44.2421 |
+| 0.007         | 19.0476 | 4000 | 0.8321          | 45.0851 |
+| 0.0057        | 19.5238 | 4100 | 0.8478          | 45.2875 |
+| 0.0064        | 20.0    | 4200 | 0.8485          | 45.1189 |
+| 0.0068        | 20.4762 | 4300 | 0.8531          | 44.7479 |
+| 0.0073        | 20.9524 | 4400 | 0.8625          | 46.4677 |
+
+
+### Framework versions
+
+- Transformers 4.43.4
+- Pytorch 2.4.1
+- Datasets 3.0.0
+- Tokenizers 0.19.1

generation_config.json

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+  "is_multilingual": true,
+  "lang_to_id": {
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+  "language": "arabic",
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+  "task_to_id": {
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+  "transformers_version": "4.43.4"
+}

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