mixed_sum_t5

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

• Loss: 2.2880
• Rouge1: 0.221
• Rouge2: 0.084
• Rougel: 0.1806
• Rougelsum: 0.1806
• Gen Len: 18.8106

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: 24
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.4147	1.0	24559	2.2880	0.221	0.084	0.1806	0.1806	18.8106

Framework versions

• Transformers 4.34.1
• Pytorch 2.1.0+cu118
• Datasets 2.14.6
• Tokenizers 0.14.1