learning_rate: 0.0001
train_batch_size: 4
eval_batch_size: 4
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	Rouge L	Bleu-4	Bertscore F1
0.4432	1.0	492	0.5810	26.8512	8.4811	85.8446
0.5458	2.0	984	0.5578	27.9861	9.1750	86.0499
0.5367	3.0	1476	0.5536	26.9743	8.6872	86.0634
0.5053	4.0	1968	0.5521	27.1588	8.8376	86.0979
0.5277	5.0	2460	0.5512	27.8130	9.4552	86.2264
0.4125	6.0	2952	0.5517	27.9565	9.0676	86.4354
0.4427	7.0	3444	0.5507	27.9484	9.4518	86.4661
0.4019	8.0	3936	0.5511	27.2611	9.2863	86.0906
0.4356	9.0	4428	0.5503	27.1845	9.3854	86.3148
0.3828	10.0	4920	0.5504	27.5384	9.5138	86.1584

deepesh0402/t5-small-task2

t5-small-task2