bbc_model_output

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

• Loss: 2.8428
• Rouge1: 0.2209
• Rouge2: 0.0377
• Rougel: 0.1677
• Rougelsum: 0.1677
• Gen Len: 19.17

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: 5e-05
• 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
• num_epochs: 2
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	50	2.8602	0.207	0.0363	0.1593	0.1595	19.235
No log	2.0	100	2.8428	0.2209	0.0377	0.1677	0.1677	19.17

Framework versions

• Transformers 4.52.3
• Pytorch 2.6.0+cpu
• Datasets 3.6.0
• Tokenizers 0.21.1