End of training

README.md

@@ -0,0 +1,80 @@
+---
+library_name: transformers
+language:
+- ar
+base_model: Ibrhm-S/arabic-speech-to-text
+tags:
+- generated_from_trainer
+datasets:
+- Ibrhm-S/arabic-speech-to-text
+metrics:
+- wer
+model-index:
+- name: Whisper Small Ar - Ibrhm S
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: arabic-speech-to-text
+      type: Ibrhm-S/arabic-speech-to-text
+      args: 'config: ar, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 96.58314350797266
+---
+
+<!-- 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 Small Ar - Ibrhm S
+
+This model is a fine-tuned version of [Ibrhm-S/arabic-speech-to-text](https://huggingface.co/Ibrhm-S/arabic-speech-to-text) on the arabic-speech-to-text dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.1640
+- Wer: 96.5831
+
+## 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: 5
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 4000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch     | Step | Validation Loss | Wer     |
+|:-------------:|:---------:|:----:|:---------------:|:-------:|
+| 0.0002        | 333.3333  | 1000 | 2.1972          | 94.9886 |
+| 0.0001        | 666.6667  | 2000 | 2.7759          | 95.8998 |
+| 0.0           | 1000.0    | 3000 | 3.0540          | 95.8998 |
+| 0.0           | 1333.3333 | 4000 | 3.1640          | 96.5831 |
+
+
+### Framework versions
+
+- Transformers 4.45.0.dev0
+- Pytorch 2.3.1+cu121
+- Datasets 2.21.0
+- Tokenizers 0.19.1

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+  "transformers_version": "4.45.0.dev0"
+}

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