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This is a finetuned Version of Llama-3.2-11b-VLM model on Indian News paper dataset (https://huggingface.co/datasets/Aditya-Khedekar/SarvamAI-VLM-dataset) With Lora and Unsloth
Baseline vs. Fine-tuned Model
| Metric | Baseline | Fine-tuned | Improvement |
|---|---|---|---|
| Average WER | 6.0228 | 0.3940 | โ 93.5% |
| Average CER | 6.9800 | 0.3442 | โ 95.1% |
| Exact Sequence Accuracy | 0.0047 | 0.5357 | โ 113x |
| Flexible Sequence Accuracy | 0.0143 | 0.6137 | โ 42x |
The fine-tuning dramatically improved all metrics:
- WER/CER: Error rates decreased by over 90% (lower is better)
- Exact Accuracy: Improved from virtually no exact matches (0.47%) to over 53%
- Flexible Accuracy: Improved from 1.43% to 61.37% of outputs having โฅ95% similarity
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