Model Card for Model ID

wandb: Run history:
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wandb:            eval/runtime ▆▅▁▃█▇▇█▇
wandb: eval/samples_per_second ▃▄█▅▁▂▂▁▂
wandb:   eval/steps_per_second ▃▄█▆▁▂▂▁▂
wandb:             train/epoch ▁▁▃▃▅▅▆▆███▁▁▃▃▅▅▆▆▆
wandb:       train/global_step ▁▁▃▃▅▅▆▆███▁▁▃▃▅▅▆▆▆
wandb:         train/grad_norm ▁▂▂▃▅▂▃█▄
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wandb:              train/loss █▄▄▃▂▄▃▂▁
wandb: 
wandb: Run summary:
wandb:                eval/loss 0.5546
wandb:             eval/runtime 24.4864
wandb:  eval/samples_per_second 13.722
wandb:    eval/steps_per_second 4.574
wandb:               total_flos 4.700706095198208e+16
wandb:              train/epoch 4
wandb:        train/global_step 1316
wandb:          train/grad_norm 0.67448
wandb:      train/learning_rate 1e-05
wandb:               train/loss 0.3392
wandb:               train_loss 0.40499
wandb:            train_runtime 1677.5794
wandb: train_samples_per_second 7.845
wandb:   train_steps_per_second 0.981



Llama-3.2-3B-ocr-correction-3-instruction-corrected-real-data.json
Average PCIS: -0.00324434
Average Dataset CER: 0.01391665
Average Model CER: 0.01699565
Average Dataset WER: 0.06207812
Average Model WER: 0.07673994


Llama-3.2-3B-ocr-correction-3-instruction-corrected-synth-data.json
Average PCIS: -0.09734535
Average Dataset CER: 0.09836092
Average Model CER: 0.19219267
Average Dataset WER: 0.21986217
Average Model WER: 1.01884786

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