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Hoixi/
TR-Fin-Table-Structure-HoixiFinetuned-v1

Name: TR-Fin-Table-Structure-HoixiFinetuned-v1
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TR-Fin-Table-Structure-HoixiFinetuned-v1

This model is a fine-tuned version of microsoft/table-transformer-structure-recognition-v1.1-all on the tr-fin_table-dataset-v4 dataset. It achieves the following results on the evaluation set:

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The following hyperparameters were used during training:

learning_rate: 5e-06
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
training_steps: 1000
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss
3.3718	12.5	50	1.8326
2.352	25.0	100	1.8074
1.8852	37.5	150	1.7669
2.4453	50.0	200	1.6969
1.7715	62.5	250	1.6691
1.8492	75.0	300	1.6298
1.9541	87.5	350	1.6240
1.6634	100.0	400	1.6063
2.0306	112.5	450	1.5812
2.0784	125.0	500	1.5645
1.7727	137.5	550	1.5720
2.7045	150.0	600	1.5749
2.2544	162.5	650	1.5736
2.06	175.0	700	1.5837
1.8153	187.5	750	1.5631
1.9772	200.0	800	1.5747
2.3578	212.5	850	1.5718
1.5885	225.0	900	1.5746
1.8051	237.5	950	1.5705
2.5822	250.0	1000	1.5728