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xsum_headline_generator – AI Model by valurank | AlphaNeural AI
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valurank
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xsum_headline_generator
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transformers
pytorch
tensorboard
pegasus
text2text-generation
generated_from_trainer
summarization
endpoints_compatible
us
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xsum_headline_generator_depreciated
This model is a fine-tuned version of
google/pegasus-multi_news
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.3521
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: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
0.6447
0.8
500
0.4893
0.3729
1.6
1000
0.3570
0.3663
2.4
1500
0.3521
Framework versions
Transformers 4.18.0
Pytorch 1.11.0
Datasets 2.1.0
Tokenizers 0.12.1
