t5-small-train

This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 2.2367
• Rouge1: 43.9525
• Rouge2: 22.3403
• Rougel: 38.7683
• Rougelsum: 39.2056

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 4.6e-05
• train_batch_size: 9
• eval_batch_size: 9
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 8

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
3.3237	1.0	40	2.6713	34.4731	14.9731	29.4814	29.9747
2.7401	2.0	80	2.4318	38.1153	18.3492	33.4476	33.9181
2.5882	3.0	120	2.3339	41.2707	19.8571	36.2685	36.6119
2.4264	4.0	160	2.2878	42.184	20.9666	37.3488	37.6172
2.3915	5.0	200	2.2605	43.4928	21.7195	38.4917	38.8471
2.3599	6.0	240	2.2462	44.2876	22.28	38.9234	39.3673
2.3073	7.0	280	2.2398	43.9822	22.3746	38.7625	39.0964
2.3026	8.0	320	2.2367	43.9525	22.3403	38.7683	39.2056

Framework versions

• Transformers 4.18.0
• Pytorch 1.11.0+cu113
• Datasets 2.1.0
• Tokenizers 0.12.1