results_t5small

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

• Loss: 0.3870
• Rouge1: 0.2699
• Rouge2: 0.0965
• Rougel: 0.2525
• Rougelsum: 0.2526
• Bleu: 0.0947
• Gen Len: 13.6472

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: 20
• eval_batch_size: 20
• seed: 42
• optimizer: Use OptimizerNames.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: 3
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Bleu	Gen Len
0.4414	1.0	4394	0.4026	0.2555	0.0844	0.2414	0.2415	0.0879	13.5781
0.4073	2.0	8788	0.3918	0.2608	0.0889	0.245	0.245	0.0901	13.4876
0.4048	3.0	13182	0.3870	0.2699	0.0965	0.2525	0.2526	0.0947	13.6472

Framework versions

• Transformers 4.55.0
• Pytorch 2.7.1+cu126
• Datasets 4.0.0
• Tokenizers 0.21.4