led-base-16384-biolaysum-both-all – AI Model by domenicrosati | AlphaNeural AI

You can deploy this model and start earning money today!

domenicrosati/
led-base-16384-biolaysum-both-all

like

0

text2text-generation

generated_from_trainer

endpoints_compatible

Views

No views yet

led-base-16384-biolaysum-both-all

This model is a fine-tuned version of allenai/led-base-16384 on the None dataset. It achieves the following results on the evaluation set:

Loss: 2.1320
Rouge1: 0.4554
Rouge2: 0.1583
Rougel: 0.2462
Rougelsum: 0.2464

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: 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: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
2.2477	0.69	5000	2.1940	0.4501	0.1552	0.2441	0.2442
2.0151	1.37	10000	2.1320	0.4554	0.1583	0.2462	0.2464
1.8991	2.06	15000	2.0994	0.4561	0.1561	0.2436	0.2437
1.877	2.75	20000	2.0860	0.4588	0.1582	0.2452	0.2453
1.753	3.43	25000	2.0723	0.4566	0.1569	0.2455	0.2457

Framework versions

Transformers 4.26.0
Pytorch 1.13.1
Datasets 2.10.1
Tokenizers 0.12.1