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learn3r/
longt5_xl_govreport_memsum_4096

Name: longt5_xl_govreport_memsum_4096
Availability: InStock

generated_from_trainer

learn3r/gov_report_memsum_bp

google/long-t5-tglobal-xl

finetune

apache-2.0

endpoints_compatible

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longt5_xl_govreport_memsum_4096

This model is a fine-tuned version of google/long-t5-tglobal-xl on the learn3r/gov_report_memsum_bp dataset. It achieves the following results on the evaluation set:

Loss: 0.9247

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
gradient_accumulation_steps: 32
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
num_epochs: 10.0

Training results

Training Loss	Epoch	Step	Validation Loss
1.1429	1.0	68	1.0058
0.9866	1.99	136	0.9247
0.9376	2.99	204	0.9298
0.8714	3.99	272	0.9250
0.7959	5.0	341	0.9284
0.729	6.0	409	0.9532
0.6575	6.99	477	0.9622
0.6076	7.99	545	0.9937
0.5653	8.99	613	1.0211
0.487	9.97	680	1.0659

Framework versions

Transformers 4.34.0.dev0
Pytorch 2.0.1+cu117
Datasets 2.14.5
Tokenizers 0.13.3

learn3r/longt5_xl_govreport_memsum_4096

longt5_xl_govreport_memsum_4096

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

learn3r/
longt5_xl_govreport_memsum_4096