Create README.md

README.md

@@ -0,0 +1,49 @@
+# distil-whisper-large-v3-tr
+
+## Model Description
+
+`distil-whisper-large-v3-tr` is a distilled version of the Whisper model, fine-tuned for Turkish language tasks. This model has been trained and evaluated using a comprehensive dataset to achieve high accuracy in Turkish speech recognition.
+
+## Training and Evaluation Metrics
+
+The model was trained and evaluated using the `wandb` tool, with the following results:
+
+### Evaluation Metrics
+
+- **Cross-Entropy Loss (eval/ce_loss):** 0.53218
+- **Epoch (eval/epoch):** 28
+- **KL Loss (eval/kl_loss):** 0.34883
+- **Total Loss (eval/loss):** 0.77457
+- **Evaluation Time (eval/time):** 397.1784 seconds
+- **Word Error Rate (eval/wer):** 14.43288%
+- **Orthographic Word Error Rate (eval/wer_ortho):** 21.55298%
+
+### Training Metrics
+
+- **Cross-Entropy Loss (train/ce_loss):** 0.04695
+- **Epoch (train/epoch):** 28
+- **KL Loss (train/kl_loss):** 0.24143
+- **Learning Rate (train/learning_rate):** 0.0001
+- **Total Loss (train/loss):** 0.27899
+- **Training Time (train/time):** 12426.92106 seconds
+
+## Run History
+
+### Overall Metrics
+
+- **Real-Time Factor (all/rtf):** 392.23396
+- **Word Error Rate (all/wer):** 14.33829
+
+### Common Voice 17.0 Turkish Pseudo-Labelled Dataset
+
+- **Real-Time Factor (common_voice_17_0_tr_pseudo_labelled/test/rtf):** 392.23396
+- **Word Error Rate (common_voice_17_0_tr_pseudo_labelled/test/wer):** 14.33829
+
+## Author
+
+**Sercan Çepni**  
+Email: [email protected]
+
+---
+
+For any questions or further information, please feel free to contact the author.