my_fine_tuning_summary_t5_large_IA_model_hf

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: nan
• Rouge1: 0.1345
• Rouge2: 0.0519
• Rougel: 0.1119
• Rougelsum: 0.112
• Gen Len: 19.0

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: 1
• eval_batch_size: 1
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• 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
0.0	1.0	989	nan	0.1345	0.0519	0.1119	0.112	19.0
0.0	2.0	1978	nan	0.1345	0.0519	0.1119	0.112	19.0
0.0	3.0	2967	nan	0.1345	0.0519	0.1119	0.112	19.0
0.0	4.0	3956	nan	0.1345	0.0519	0.1119	0.112	19.0

Framework versions

• PEFT 0.8.2
• Transformers 4.37.2
• Pytorch 2.0.1+cu117
• Datasets 2.14.5
• Tokenizers 0.15.2