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led-base-16384-biolaysum-both-baseline – AI Model by domenicrosati | AlphaNeural AI
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led-base-16384-biolaysum-both-baseline
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transformers
pytorch
led
text2text-generation
generated_from_trainer
apache-2.0
endpoints_compatible
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led-base-16384-biolaysum-both-baseline
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: 2.1666
Rouge1: 0.4524
Rouge2: 0.1553
Rougel: 0.2434
Rougelsum: 0.2434
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: 4
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
2.0914
1.37
5000
2.1666
0.4524
0.1553
0.2434
0.2434
1.9787
2.75
10000
2.1174
0.4561
0.1540
0.2412
0.2412
Framework versions
Transformers 4.26.0
Pytorch 1.13.1
Datasets 2.10.1
Tokenizers 0.12.1
