learning_rate: 2e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 10
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	410	nan	0.1434	0.0535	0.1286	0.1287	20.0
0.0	2.0	820	nan	0.1434	0.0535	0.1286	0.1287	20.0
0.0	3.0	1230	nan	0.1434	0.0535	0.1286	0.1287	20.0
0.0	4.0	1640	nan	0.1434	0.0535	0.1286	0.1287	20.0
0.0	5.0	2050	nan	0.1434	0.0535	0.1286	0.1287	20.0
0.0	6.0	2460	nan	0.1434	0.0535	0.1286	0.1287	20.0
0.0	7.0	2870	nan	0.1434	0.0535	0.1286	0.1287	20.0
0.0	8.0	3280	nan	0.1434	0.0535	0.1286	0.1287	20.0
0.0	9.0	3690	nan	0.1434	0.0535	0.1286	0.1287	20.0
0.0	10.0	4100	nan	0.1434	0.0535	0.1286	0.1287	20.0

str20tbl/summarise_cy

summarise_cy