my_fine_tuning_summary_t5_large_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: 0.1329
• Rouge2: 0.0498
• Rougel: 0.1105
• Rougelsum: 0.1106
• 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: 20
• 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	0.1329	0.0498	0.1105	0.1106	19.0
0.0	2.0	1978	nan	0.1329	0.0498	0.1105	0.1106	19.0
0.0	3.0	2967	nan	0.1329	0.0498	0.1105	0.1106	19.0
0.0	4.0	3956	nan	0.1329	0.0498	0.1105	0.1106	19.0
0.0	5.0	4945	nan	0.1329	0.0498	0.1105	0.1106	19.0
0.0	6.0	5934	nan	0.1329	0.0498	0.1105	0.1106	19.0
0.0	7.0	6923	nan	0.1329	0.0498	0.1105	0.1106	19.0
0.0	8.0	7912	nan	0.1329	0.0498	0.1105	0.1106	19.0
0.0	9.0	8901	nan	0.1329	0.0498	0.1105	0.1106	19.0
0.0	10.0	9890	nan	0.1329	0.0498	0.1105	0.1106	19.0
0.0	11.0	10879	nan	0.1329	0.0498	0.1105	0.1106	19.0
0.0	12.0	11868	nan	0.1329	0.0498	0.1105	0.1106	19.0
0.0	13.0	12857	nan	0.1329	0.0498	0.1105	0.1106	19.0
0.0	14.0	13846	nan	0.1329	0.0498	0.1105	0.1106	19.0
0.0	15.0	14835	nan	0.1329	0.0498	0.1105	0.1106	19.0
0.0	16.0	15824	nan	0.1329	0.0498	0.1105	0.1106	19.0
0.0	17.0	16813	nan	0.1329	0.0498	0.1105	0.1106	19.0
0.0	18.0	17802	nan	0.1329	0.0498	0.1105	0.1106	19.0
0.0	19.0	18791	nan	0.1329	0.0498	0.1105	0.1106	19.0
0.0	20.0	19780	nan	0.1329	0.0498	0.1105	0.1106	19.0

Framework versions

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