fine_tuned_t5_small_model_sec_5_v13

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

• Loss: 2.9971
• Rouge1: 0.4057
• Rouge2: 0.155
• Rougel: 0.2516
• Rougelsum: 0.252
• Gen Len: 95.1
• Bert F1: 0.8758

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: 2e-05
• train_batch_size: 8
• eval_batch_size: 8
• 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: 4
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len	Bert F1
3.5508	1.0	95	3.1502	0.4016	0.1522	0.2479	0.2476	97.6526	0.874
3.1904	2.0	190	3.0374	0.4094	0.1578	0.2536	0.2536	97.6474	0.8757
3.138	3.0	285	3.0059	0.4034	0.1538	0.2486	0.2491	95.0211	0.8752
3.1061	4.0	380	2.9971	0.4057	0.155	0.2516	0.252	95.1	0.8758

Framework versions

• Transformers 4.46.3
• Pytorch 2.4.0
• Datasets 3.1.0
• Tokenizers 0.20.3