You can deploy this model and start earning money today!

Dikshant182004/
t5-base-lora-finetune-tweetsumm-1759927258

Name: t5-base-lora-finetune-tweetsumm-1759927258
Availability: InStock

Andyrasika/TweetSumm-tuned

google-t5/t5-base

apache-2.0

model-index

Views

No views yet

t5-base-lora-finetune-tweetsumm-1759927258

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: 1.8236
Rouge1: 0.4479
Rouge2: 0.2102
Rougel: 0.3774
Rougelsum: 0.415
Gen Len: 46.3273
F1: 0.8903
Precision: 0.8875
Recall: 0.8934

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
2.106	1.0	110	1.8968	0.44	0.2049	0.3691	0.4078	49.3455	0.8867	0.8832	0.8904
1.8113	2.0	220	1.8425	0.4405	0.2078	0.3706	0.4044	47.9455	0.8895	0.887	0.8921
1.5495	3.0	330	1.8236	0.4479	0.2102	0.3774	0.415	46.3273	0.8903	0.8875	0.8934

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-1759927258

t5-base-lora-finetune-tweetsumm-1759927258

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Dikshant182004/
t5-base-lora-finetune-tweetsumm-1759927258