t5-small-finetuned-topics-customdata

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

• Loss: 2.6454
• Rouge1: 35.5152
• Rouge2: 26.0061
• Rougel: 34.6245
• Rougelsum: 34.6301
• Gen Len: 12.131

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

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.6449	1.0	1000	2.6940	34.7463	25.5926	33.9278	33.9533	12.456
2.4802	2.0	2000	2.6530	35.3548	25.9763	34.4508	34.4747	12.329
2.4914	3.0	3000	2.6454	35.5152	26.0061	34.6245	34.6301	12.131

Framework versions

• Transformers 4.28.1
• Pytorch 2.0.0+cu118
• Datasets 2.11.0
• Tokenizers 0.13.3