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learn3r/
longt5_xl_sfd_20

Name: longt5_xl_sfd_20
Availability: InStock

generated_from_trainer

tau/scrolls

google/long-t5-tglobal-xl

finetune

apache-2.0

endpoints_compatible

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longt5_xl_sfd_20

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

Loss: 4.8167

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: 20.0

Training results

Training Loss	Epoch	Step	Validation Loss
2.9377	0.97	14	2.7965
2.3247	1.95	28	2.2995
1.9943	2.99	43	2.3308
1.7056	3.97	57	2.3369
1.4471	4.94	71	2.5532
1.1932	5.98	86	2.6961
0.9199	6.96	100	2.6453
0.7571	8.0	115	3.0978
0.6287	8.97	129	3.1458
0.4939	9.95	143	3.5686
0.376	10.99	158	3.4260
0.313	11.97	172	3.9302
0.2562	12.94	186	3.7433
0.2051	13.98	201	3.9113
0.1802	14.96	215	4.0450
0.1378	16.0	230	3.9397
0.1546	16.97	244	4.3079
0.1375	17.95	258	4.5525
0.1005	18.99	273	4.9005
0.0808	19.48	280	4.8167

Framework versions

Transformers 4.39.3
Pytorch 2.2.2+cu121
Datasets 2.18.0
Tokenizers 0.15.2

learn3r/longt5_xl_sfd_20

longt5_xl_sfd_20

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

learn3r/
longt5_xl_sfd_20