learning_rate: 5e-05
train_batch_size: 4
eval_batch_size: 8
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: reduce_lr_on_plateau
lr_scheduler_warmup_ratio: 0.06
num_epochs: 10

Training Loss	Epoch	Step	Validation Loss
3.2231	0.7692	10	0.7135
0.1961	1.5385	20	0.0019
0.002	2.3077	30	0.0004
0.0005	3.0769	40	0.0002
0.0003	3.8462	50	0.0001
0.0003	4.6154	60	0.0001
0.0002	5.3846	70	0.0001
0.0002	6.1538	80	0.0001
0.0002	6.9231	90	0.0001
0.0002	7.6923	100	0.0001
0.0002	8.4615	110	0.0001
0.0001	9.2308	120	0.0001
0.0001	10.0	130	0.0001

AntonioTH/Layout-finetuned-fr-model-50instances20-10epochs-5e-05lr-V2

Layout-finetuned-fr-model-50instances20-10epochs-5e-05lr-V2