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layoutxlm-merit

Token Classification
PyTorch
Spanish
layoutlmv2
vision
document-understanding
donut
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layoutxlm-merit

Commit History

Improved model: step 50 (eval_loss=1.3049)
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Improved model: step 50 (eval_loss=1.4595)
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Improved model: step 50 (eval_loss=1.4547)
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Improved model: step 50 (eval_loss=1.4665)
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Improved model: step 250 (eval_loss=1.0857)
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Improved model: step 3500 (eval_loss=0.0575)
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Improved model: step 3250 (eval_loss=0.0579)
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Improved model: step 2250 (eval_loss=0.0583)
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Improved model: step 2000 (eval_loss=0.0636)
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Improved model: step 1750 (eval_loss=0.0671)
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Improved model: step 1500 (eval_loss=0.0778)
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Improved model: step 1250 (eval_loss=0.0974)
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Improved model: step 1000 (eval_loss=0.1440)
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Improved model: step 750 (eval_loss=0.2950)
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Improved model: step 500 (eval_loss=0.4758)
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Improved model: step 250 (eval_loss=0.7488)
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Improved model: step 3500 (eval_loss=0.0608)
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Improved model: step 3000 (eval_loss=0.0619)
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Improved model: step 2750 (eval_loss=0.0621)
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Improved model: step 2250 (eval_loss=0.0677)
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Improved model: step 2000 (eval_loss=0.0744)
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Improved model: step 1750 (eval_loss=0.0778)
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Improved model: step 1500 (eval_loss=0.0858)
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Improved model: step 1250 (eval_loss=0.1182)
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Improved model: step 1000 (eval_loss=0.1572)
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Improved model: step 750 (eval_loss=0.2727)
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Improved model: step 500 (eval_loss=0.4865)
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Improved model: step 250 (eval_loss=0.7950)
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Improved model: step 3750 (eval_loss=0.0107)
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Improved model: step 3500 (eval_loss=0.0109)
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Improved model: step 3250 (eval_loss=0.0114)
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Improved model: step 3000 (eval_loss=0.0122)
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Improved model: step 2750 (eval_loss=0.0127)
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Improved model: step 2500 (eval_loss=0.0146)
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Improved model: step 2250 (eval_loss=0.0178)
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Improved model: step 2000 (eval_loss=0.0251)
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Improved model: step 1750 (eval_loss=0.0480)
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Improved model: step 1500 (eval_loss=0.0803)
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Improved model: step 1250 (eval_loss=0.1557)
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Improved model: step 1000 (eval_loss=0.2855)
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Improved model: step 750 (eval_loss=0.3468)
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Improved model: step 500 (eval_loss=0.4483)
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Improved model: step 250 (eval_loss=0.7522)
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Improved model: step 6000 (eval_loss=0.0080)
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Improved model: step 5750 (eval_loss=0.0080)
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Improved model: step 5250 (eval_loss=0.0081)
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Improved model: step 5000 (eval_loss=0.0082)
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Improved model: step 4750 (eval_loss=0.0085)
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Improved model: step 4000 (eval_loss=0.0091)
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Improved model: step 3500 (eval_loss=0.0094)
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