t5-small-finetuned-dialogsum

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

• Loss: 1.2771
• Rouge1: 36.5788
• Rouge2: 13.75
• Rougel: 30.9066
• Rougelsum: 32.8118
• Gen Len: 18.846

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: 2e-05
• train_batch_size: 3
• eval_batch_size: 3
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
1.4705	1.0	4154	1.3514	34.3952	11.8123	28.9797	31.003	18.76
1.418	2.0	8308	1.3023	35.904	12.9905	30.3195	32.1809	18.83
1.3933	3.0	12462	1.2832	36.1796	13.6096	30.6577	32.5292	18.884
1.3875	4.0	16616	1.2771	36.5788	13.75	30.9066	32.8118	18.846

Framework versions

• Transformers 4.26.0
• Pytorch 1.13.1+cu116
• Datasets 2.9.0
• Tokenizers 0.13.2