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Dikshant182004/
t5-base-lora-finetune-tweetsumm-1759926273

Name: t5-base-lora-finetune-tweetsumm-1759926273
Availability: InStock

Andyrasika/TweetSumm-tuned

google-t5/t5-base

apache-2.0

model-index

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t5-base-lora-finetune-tweetsumm-1759926273

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: 1.8100
Rouge1: 0.4551
Rouge2: 0.2106
Rougel: 0.3742
Rougelsum: 0.4167
Gen Len: 47.5636
F1: 0.8917
Precision: 0.8879
Recall: 0.8958

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
2.0742	1.0	110	1.8740	0.4377	0.2001	0.361	0.4021	49.3273	0.8863	0.8819	0.8909
1.8448	2.0	220	1.8243	0.4569	0.2143	0.3752	0.4211	47.3818	0.8916	0.8886	0.8949
1.5995	3.0	330	1.8100	0.4551	0.2106	0.3742	0.4167	47.5636	0.8917	0.8879	0.8958

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-1759926273

t5-base-lora-finetune-tweetsumm-1759926273

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Dikshant182004/
t5-base-lora-finetune-tweetsumm-1759926273