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Dikshant182004/
t5-base-lora-finetune-tweetsumm-1759924972

Name: t5-base-lora-finetune-tweetsumm-1759924972
Availability: InStock

Andyrasika/TweetSumm-tuned

google-t5/t5-base

apache-2.0

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t5-base-lora-finetune-tweetsumm-1759924972

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: 1.8016
Rouge1: 0.4459
Rouge2: 0.2079
Rougel: 0.3746
Rougelsum: 0.4085
Gen Len: 49.0455
F1: 0.8897
Precision: 0.8854
Recall: 0.8943

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
2.2442	1.0	110	1.8712	0.453	0.2093	0.3768	0.4182	47.2909	0.8909	0.8878	0.8941
1.7488	2.0	220	1.8087	0.4386	0.205	0.3726	0.4053	49.6909	0.8891	0.884	0.8944
1.495	3.0	330	1.8016	0.4459	0.2079	0.3746	0.4085	49.0455	0.8897	0.8854	0.8943

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-1759924972

t5-base-lora-finetune-tweetsumm-1759924972

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Dikshant182004/
t5-base-lora-finetune-tweetsumm-1759924972