results_t5small_first25

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

• Loss: 2.5455
• Rouge1: 0.1758
• Rouge2: 0.0585
• Rougel: 0.1389
• Rougelsum: 0.1388
• Gen Len: 20.0

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: 0.0005
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.9172	0.32	1000	2.7575	0.1643	0.051	0.1293	0.1293	20.0
2.7163	0.64	2000	2.6575	0.1738	0.0568	0.1377	0.1376	20.0
2.8039	0.96	3000	2.6067	0.1722	0.0576	0.137	0.1369	20.0
2.6519	1.28	4000	2.5771	0.1758	0.0589	0.1384	0.1382	20.0
2.6342	1.6	5000	2.5627	0.1771	0.0603	0.1401	0.1401	20.0
2.5756	1.92	6000	2.5455	0.1758	0.0585	0.1389	0.1388	20.0

Framework versions

• Transformers 4.47.0
• Pytorch 2.5.1+cu121
• Datasets 3.3.1
• Tokenizers 0.21.0