tl_dr_summary

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

• Loss: 2.6215
• Rouge1: 0.408
• Rouge2: 0.2294
• Rougel: 0.3802
• Rougelsum: 0.3805
• Gen Len: 14.2469

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: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	447	2.7918	0.3234	0.1352	0.2944	0.2941	15.9559
3.4426	2.0	894	2.6821	0.398	0.2216	0.3704	0.3704	14.4849
3.0161	3.0	1341	2.6415	0.4042	0.2266	0.3765	0.3765	14.4106
2.9296	4.0	1788	2.6272	0.4068	0.2292	0.3796	0.3802	14.228
2.8791	5.0	2235	2.6215	0.408	0.2294	0.3802	0.3805	14.2469

Framework versions

• Transformers 4.27.4
• Pytorch 2.0.0+cu118
• Datasets 2.11.0
• Tokenizers 0.13.3