You can deploy this model and start earning money today!

Dikshant182004/
t5-base-lora-finetune-tweetsumm-1760075742

Name: t5-base-lora-finetune-tweetsumm-1760075742
Availability: InStock

Andyrasika/TweetSumm-tuned

google-t5/t5-base

apache-2.0

model-index

Views

No views yet

t5-base-lora-finetune-tweetsumm-1760075742

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: 1.8115
Rouge1: 0.4407
Rouge2: 0.2025
Rougel: 0.368
Rougelsum: 0.4049
Gen Len: 47.8545
F1: 0.8888
Precision: 0.8854
Recall: 0.8924

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: 0.001
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
2.1023	1.0	110	1.8780	0.424	0.1972	0.3628	0.3926	48.7	0.8843	0.8815	0.8873
1.7351	2.0	220	1.8109	0.4494	0.2109	0.3799	0.4135	49.1909	0.8907	0.8879	0.8937
1.5234	3.0	330	1.8115	0.4407	0.2025	0.368	0.4049	47.8545	0.8888	0.8854	0.8924

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-1760075742

t5-base-lora-finetune-tweetsumm-1760075742

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Dikshant182004/
t5-base-lora-finetune-tweetsumm-1760075742