fine_tuned_t5_small_model_sec_5_v12

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

• Loss: 2.7808
• Rouge1: 0.3922
• Rouge2: 0.1658
• Rougel: 0.2571
• Rougelsum: 0.2574
• Bertscore F1: 0.6415
• Gen Len: 95.9789

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: 5
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Bertscore F1	Gen Len
3.5579	1.0526	100	2.9214	0.3898	0.1634	0.2562	0.2567	0.6375	98.7895
3.2216	2.1053	200	2.8219	0.392	0.1646	0.2559	0.2571	0.6372	97.8474
3.1439	3.1579	300	2.7919	0.3891	0.1625	0.2545	0.2547	0.638	95.6316
3.0991	4.2105	400	2.7808	0.3922	0.1658	0.2571	0.2574	0.6415	95.9789

Framework versions

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