You can deploy this model and start earning money today!

Dikshant182004/
t5-base-lora-finetune-tweetsumm-1759927674

Name: t5-base-lora-finetune-tweetsumm-1759927674
Availability: InStock

Andyrasika/TweetSumm-tuned

google-t5/t5-base

apache-2.0

model-index

Views

No views yet

t5-base-lora-finetune-tweetsumm-1759927674

This model is a fine-tuned version of google-t5/t5-base on the Andyrasika/TweetSumm-tuned dataset. It achieves the following results on the evaluation set:

Loss: 1.7857
Rouge1: 0.4418
Rouge2: 0.2109
Rougel: 0.3724
Rougelsum: 0.4058
Gen Len: 48.6818
F1: 0.8889
Precision: 0.8855
Recall: 0.8926

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: 0.0005
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len	F1	Precision	Recall
2.1175	1.0	110	1.8794	0.4174	0.191	0.3533	0.3875	49.9818	0.884	0.8807	0.8876
1.8042	2.0	220	1.8062	0.4207	0.1954	0.3554	0.3864	49.0727	0.8868	0.8832	0.8906
1.5646	3.0	330	1.7857	0.4418	0.2109	0.3724	0.4058	48.6818	0.8889	0.8855	0.8926

Framework versions

PEFT 0.17.1
Transformers 4.56.2
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1

Dikshant182004/t5-base-lora-finetune-tweetsumm-1759927674

t5-base-lora-finetune-tweetsumm-1759927674

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Dikshant182004/
t5-base-lora-finetune-tweetsumm-1759927674