AbdallahElraey/HFmodels

TED_FineTuned_google-t5

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

• Loss: 11.1051
• Rouge1: 0.0744
• Rouge2: 0.0043
• Rougel: 0.0704
• Rougelsum: 0.0698
• Gen Len: 20.0

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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Use OptimizerNames.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
No log	1.0	2	11.9179	0.0693	0.0024	0.0672	0.0664	20.0
No log	2.0	4	11.5639	0.0744	0.0043	0.0703	0.0698	20.0
No log	3.0	6	11.1956	0.0744	0.0043	0.0704	0.0698	20.0
No log	4.0	8	11.1051	0.0744	0.0043	0.0704	0.0698	20.0

Framework versions

• Transformers 4.47.0
• Pytorch 2.5.1+cu121
• Datasets 3.2.0
• Tokenizers 0.21.0