End of training

README.md

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+---
+language:
+- ar
+license: mit
+base_model: distil-whisper/distil-large-v2
+tags:
+- generated_from_trainer
+datasets:
+- nadsoft/Jordan-Audio
+metrics:
+- wer
+model-index:
+- name: Hamsa distill alfa
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: nadsoft/Jordan-Audio
+      type: nadsoft/Jordan-Audio
+    metrics:
+    - name: Wer
+      type: wer
+      value: 45.223367697594504
+---
+
+<!-- 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. -->
+
+# Hamsa distill alfa
+
+This model is a fine-tuned version of [distil-whisper/distil-large-v2](https://huggingface.co/distil-whisper/distil-large-v2) on the nadsoft/Jordan-Audio dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9732
+- Wer Ortho: 47.5105
+- Wer: 45.2234
+
+## 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: 0.0002
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: constant_with_warmup
+- lr_scheduler_warmup_steps: 50
+- training_steps: 8000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
+| 0.2094        | 7.04  | 2000 | 0.8198          | 48.5575   | 46.3918 |
+| 0.0883        | 14.08 | 4000 | 0.9112          | 47.4174   | 44.6048 |
+| 0.0662        | 21.13 | 6000 | 0.9644          | 46.8125   | 44.6277 |
+| 0.0496        | 28.17 | 8000 | 0.9732          | 47.5105   | 45.2234 |
+
+
+### Framework versions
+
+- Transformers 4.35.0
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.6
+- Tokenizers 0.14.1

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+}

model.safetensors

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