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taiypeo/
bart-base-xsum-rouge-3-loss-differentiable-10-cnt-supervised-sequential

Name: bart-base-xsum-rouge-3-loss-differentiable-10-cnt-supervised-sequential
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bart-base-xsum-rouge-3-loss-differentiable-10-cnt-supervised-sequential

This model is a fine-tuned version of taiypeo/bart-base-xsum-sentence-paraphrased-10-cnt-supervised-basic on an unknown dataset. It achieves the following results on the evaluation set:

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The following hyperparameters were used during training:

learning_rate: 1e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.06
num_epochs: 5

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
1.1137	0.0032	2	2.2976	0.2422	0.0629	0.1832	0.1832
1.2046	0.0064	4	2.2984	0.2426	0.0633	0.1836	0.1837
1.1645	0.0096	6	2.2999	0.2423	0.0632	0.1834	0.1834
1.1997	0.0128	8	2.3020	0.2425	0.0633	0.1836	0.1837
1.2864	0.0160	10	2.3049	0.2431	0.0637	0.1841	0.1841
1.1815	0.0192	12	2.3084	0.2429	0.0632	0.1836	0.1836
1.079	0.0224	14	2.3127	0.2428	0.0632	0.1835	0.1835
1.0862	0.0256	16	2.3179	0.2426	0.0625	0.1832	0.1831
1.0948	0.0288	18	2.3240	0.2415	0.0618	0.182	0.182
1.1651	0.0320	20	2.3314	0.2402	0.0609	0.1811	0.1809
1.0771	0.0352	22	2.3401	0.2406	0.0607	0.1817	0.1817