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RMWeerasinghe/
flan-t5-base-finetuned-govReport-3072

Name: flan-t5-base-finetuned-govReport-3072
Availability: InStock

peft

safetensors

summarization

generated_from_trainer

gov_report_summarization_dataset

google/flan-t5-base

adapter

apache-2.0

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flan-t5-base-finetuned-govReport-3072

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

Loss: nan
Rouge1: 0.042
Rouge2: 0.0216
Rougel: 0.0379
Rougelsum: 0.0406

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: 3e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
1.0	250	nan	0.042	0.0216	0.0379	0.0406
2.0	500	nan	0.042	0.0216	0.0379	0.0406
3.0	750	nan	0.042	0.0216	0.0379	0.0406
4.0	1000	nan	0.042	0.0216	0.0379	0.0406
5.0	1250	nan	0.042	0.0216	0.0379	0.0406
6.0	1500	nan	0.042	0.0216	0.0379	0.0406
7.0	1750	nan	0.042	0.0216	0.0379	0.0406
8.0	2000	nan	0.042	0.0216	0.0379	0.0406
9.0	2250	nan	0.042	0.0216	0.0379	0.0406
10.0	2500	nan	0.042	0.0216	0.0379	0.0406

Framework versions

PEFT 0.8.2
Transformers 4.37.0
Pytorch 2.1.2
Datasets 2.1.0
Tokenizers 0.15.1

RMWeerasinghe/flan-t5-base-finetuned-govReport-3072

flan-t5-base-finetuned-govReport-3072

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

RMWeerasinghe/
flan-t5-base-finetuned-govReport-3072