summarizing_news

This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.5292
• Rouge1: 0.384
• Rouge2: 0.1554
• Rougel: 0.3376
• Rougelsum: 0.3377
• Gen Len: 18.8513

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: 16
• eval_batch_size: 16
• seed: 72
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 4
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	63	3.0459	0.3393	0.1259	0.2985	0.2986	18.9927
No log	2.0	126	2.7214	0.3699	0.1458	0.3255	0.3257	18.9666
No log	3.0	189	2.5743	0.3805	0.153	0.3345	0.3347	18.8972
No log	4.0	252	2.5292	0.384	0.1554	0.3376	0.3377	18.8513

Framework versions

• Transformers 4.28.1
• Pytorch 2.0.0+cu118
• Datasets 2.12.0
• Tokenizers 0.13.3