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@@ -119,6 +119,17 @@ The training dataset is a curated subset of the [PULSE-ECG/ECGInstruct](https://
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  Dataset link: [`yasserrmd/pulse-ecg-instruct-subset`](https://huggingface.co/datasets/yasserrmd/pulse-ecg-instruct-subset)
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  ## Intended Use
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  * Emergency triage in offline settings
 
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  Dataset link: [`yasserrmd/pulse-ecg-instruct-subset`](https://huggingface.co/datasets/yasserrmd/pulse-ecg-instruct-subset)
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+ ### **Training Loss Summary**
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+ <img src="tl.png" >
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+ The model was fine-tuned over 409 steps using the `pulse-ecg-instruct-subset` dataset. The training loss started above **9.5** and steadily declined to below **0.5**, showing consistent convergence and learning throughout the single epoch. The loss curve demonstrates a stable optimization process without overfitting spikes. The chart below visualizes this progression, highlighting the model’s ability to adapt quickly to the ECG image-to-text task.
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  ## Intended Use
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  * Emergency triage in offline settings