learning_rate: 2.5e-05
train_batch_size: 32
eval_batch_size: 32
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
lr_scheduler_warmup_steps: 269
num_epochs: 15

Training Loss	Epoch	Step	Validation Loss
2.492	1.0	180	2.4670
2.1175	2.0	360	2.1910
1.8209	3.0	540	1.9628
1.5473	4.0	720	1.8677
1.3788	5.0	900	1.7496
1.2256	6.0	1080	1.6135
1.0851	7.0	1260	1.5506
1.0034	8.0	1440	1.4427
0.9083	9.0	1620	1.3785
0.839	10.0	1800	1.3249
0.7747	11.0	1980	1.2845
0.7332	12.0	2160	1.2503
0.7062	13.0	2340	1.2189
0.6824	14.0	2520	1.2087
0.6568	15.0	2700	1.2009

pabRomero/BART-Firefox-Simplification-Secondary

BART-Firefox-Simplification-Secondary