results_t5small_second25

This model is a fine-tuned version of AbdullahKnn/results_t5small_first25 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.4917
• Rouge1: 0.1766
• Rouge2: 0.0591
• Rougel: 0.1381
• Rougelsum: 0.1382
• 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: 32
• eval_batch_size: 32
• 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
2.6325	0.6398	1000	2.5410	0.1732	0.0568	0.1345	0.1347	20.0
2.5807	1.2796	2000	2.5067	0.1756	0.0583	0.1374	0.1375	20.0
2.5674	1.9194	3000	2.4917	0.1766	0.0591	0.1381	0.1382	20.0

Framework versions

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