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Dikshant182004/
t5-base-lora-finetune-tweetsumm-1759928090

Name: t5-base-lora-finetune-tweetsumm-1759928090
Availability: InStock

Andyrasika/TweetSumm-tuned

google-t5/t5-base

apache-2.0

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t5-base-lora-finetune-tweetsumm-1759928090

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: 1.7850
Rouge1: 0.4534
Rouge2: 0.207
Rougel: 0.378
Rougelsum: 0.4209
Gen Len: 46.9182
F1: 0.8905
Precision: 0.8875
Recall: 0.8936

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
2.1242	1.0	110	1.8518	0.4478	0.208	0.3789	0.4161	48.4364	0.8897	0.8863	0.8934
1.7954	2.0	220	1.7940	0.4612	0.2158	0.3897	0.4241	44.8273	0.8928	0.8913	0.8944
1.6041	3.0	330	1.7850	0.4534	0.207	0.378	0.4209	46.9182	0.8905	0.8875	0.8936

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-1759928090

t5-base-lora-finetune-tweetsumm-1759928090

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Dikshant182004/
t5-base-lora-finetune-tweetsumm-1759928090