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taiypeo/
bart-base-aeslc-sentence-paraphrased-rouge-3-loss-differentiable-100-cnt-supervised-sequential

Name: bart-base-aeslc-sentence-paraphrased-rouge-3-loss-differentiable-100-cnt-supervised-sequential
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bart-base-aeslc-sentence-paraphrased-rouge-3-loss-differentiable-100-cnt-supervised-sequential

This model is a fine-tuned version of taiypeo/bart-base-aeslc-sentence-paraphrased-100-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
2.413	0.0112	10	5.0478	0.2828	0.1429	0.2776	0.2778
3.3985	0.0223	20	5.0579	0.2836	0.1433	0.2785	0.2789
2.7513	0.0335	30	5.0767	0.2899	0.1477	0.284	0.2841
2.6417	0.0446	40	5.1036	0.2957	0.1509	0.2896	0.2899
1.601	0.0558	50	5.1452	0.2953	0.151	0.289	0.289
1.3611	0.0670	60	5.2174	0.299	0.1539	0.2912	0.2915
1.1179	0.0781	70	5.3229	0.2999	0.1535	0.2921	0.2922
1.0203	0.0893	80	5.4883	0.3029	0.1539	0.2914	0.2917
0.9422	0.1004	90	5.7519	0.2915	0.1453	0.2797	0.2804
0.9228	0.1116	100	6.1064	0.2661	0.1274	0.2539	0.2544