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Model: Baraa123R/whisper-finetuned-TheArabMaghreb2
Source: Original Platform

.gitattributes

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README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: Baraa123R/whisper-finetuned-Tunisian
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: whisper-finetuned-TheArabMaghreb2
+  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. -->
+
+# whisper-finetuned-TheArabMaghreb2
+
+This model is a fine-tuned version of [Baraa123R/whisper-finetuned-Tunisian](https://huggingface.co/Baraa123R/whisper-finetuned-Tunisian) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.3892
+- Wer: 95.2957
+
+## 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: 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
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.49.0
+- Pytorch 2.6.0+cu124
+- Datasets 3.4.1
+- Tokenizers 0.21.0

config.json

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+  "activation_function": "gelu",
+  "apply_spec_augment": false,
+  "architectures": [
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+  "model_type": "whisper",
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+  "num_mel_bins": 80,
+  "pad_token_id": 50257,
+  "scale_embedding": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.49.0",
+  "use_cache": true,
+  "use_weighted_layer_sum": false,
+  "vocab_size": 51865
+}

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