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led-base-8192-biolaysum-elife – AI Model by domenicrosati | AlphaNeural AI
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led-base-8192-biolaysum-elife
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transformers
pytorch
tensorboard
led
text2text-generation
generated_from_trainer
apache-2.0
endpoints_compatible
us
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led-base-8192-biolaysum-elife
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: 2.3267
Rouge1: 0.4438
Rouge2: 0.1123
Rougel: 0.2010
Rougelsum: 0.2010
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: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
2.6233
0.92
500
2.3315
0.4395
0.1324
0.1976
0.1976
Framework versions
Transformers 4.26.1
Pytorch 1.12.0
Datasets 2.9.0
Tokenizers 0.12.1
