slue_ted_finetuned-t5

This model is a fine-tuned version of google-t5/t5-large on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 2.2805
• Rouge1: 0.3147
• Rouge2: 0.0968
• Rougel: 0.201
• Rougelsum: 0.2016
• Gen Len: 119.0753

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: 3e-05
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 8
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 1000
• num_epochs: 7

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.592	1.1820	500	2.4583	0.2701	0.0719	0.1737	0.1743	113.1553
2.3779	2.3641	1000	2.3333	0.2931	0.0842	0.1834	0.1841	115.8424
2.2448	3.5461	1500	2.2892	0.3066	0.094	0.1967	0.1974	116.1176
2.157	4.7281	2000	2.2775	0.3084	0.0912	0.1957	0.1962	116.56
2.0414	5.9102	2500	2.2805	0.3147	0.0968	0.201	0.2016	119.0753

Framework versions

• Transformers 4.57.1
• Pytorch 2.9.0+cu128
• Datasets 4.2.0
• Tokenizers 0.22.1