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Goutham-Vignesh/
flan-t5-tuned-zolvit

Name: flan-t5-tuned-zolvit
Availability: InStock

generated_from_trainer

govreport-summarization

apache-2.0

model-index

text-generation-inference

endpoints_compatible

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flan-t5-gov-report-sum

This model is a fine-tuned version of google/flan-t5-base on the govreport-summarization dataset. It achieves the following results on the evaluation set:

Loss: 2.2385
Rouge1: 5.8729
Rouge2: 3.0763
Rougel: 5.1016
Rougelsum: 5.646
Gen Len: 19.0

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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.5801	1.0	2190	2.3211	5.6226	2.9142	4.9535	5.417	19.0
2.5125	2.0	4380	2.2748	5.7982	3.0365	5.0726	5.5837	19.0
2.453	3.0	6570	2.2545	5.8744	3.0997	5.1196	5.6524	19.0
2.436	4.0	8760	2.2430	5.8669	3.0525	5.0849	5.631	19.0
2.4144	5.0	10950	2.2385	5.8729	3.0763	5.1016	5.646	19.0

Framework versions

Transformers 4.26.1
Pytorch 1.11.0+cu102
Datasets 2.9.0
Tokenizers 0.13.2

Goutham-Vignesh/flan-t5-tuned-zolvit

flan-t5-gov-report-sum

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Goutham-Vignesh/
flan-t5-tuned-zolvit