T5_base_title

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

• Loss: 2.0487
• Rouge1: 0.3848
• Rouge2: 0.1901
• Rougel: 0.3297
• Rougelsum: 0.3288
• Gen Len: 16.795

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: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	200	2.0966	0.3525	0.165	0.2921	0.2934	17.4
No log	2.0	400	2.0533	0.3706	0.1775	0.3145	0.3147	16.52
2.2032	3.0	600	2.0453	0.3754	0.1867	0.3226	0.3227	16.68
2.2032	4.0	800	2.0383	0.379	0.1887	0.3246	0.3243	16.36
1.8535	5.0	1000	2.0376	0.3849	0.1881	0.3269	0.3267	16.755
1.8535	6.0	1200	2.0416	0.378	0.1792	0.3236	0.3228	16.84
1.8535	7.0	1400	2.0445	0.3805	0.1848	0.3249	0.3248	16.65
1.692	8.0	1600	2.0484	0.3876	0.187	0.3289	0.3285	16.845
1.692	9.0	1800	2.0473	0.3891	0.1912	0.3325	0.332	16.815
1.6276	10.0	2000	2.0487	0.3848	0.1901	0.3297	0.3288	16.795

Framework versions

• Transformers 4.37.2
• Pytorch 2.1.0+cu121
• Datasets 2.17.0
• Tokenizers 0.15.2