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pegasus_cnn_news_article_title_25000 – AI Model by abdulmatinomotoso | AlphaNeural AI
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abdulmatinomotoso
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pegasus_cnn_news_article_title_25000
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transformers
pytorch
tensorboard
pegasus
text2text-generation
generated_from_trainer
endpoints_compatible
us
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pegasus_cnn_news_article_title_25000
This model is a fine-tuned version of
google/pegasus-cnn_dailymail
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1857
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: 1
Training results
Training Loss
Epoch
Step
Validation Loss
0.2711
0.32
500
0.2287
0.2009
0.64
1000
0.1924
0.2077
0.96
1500
0.1857
Framework versions
Transformers 4.18.0
Pytorch 1.11.0
Datasets 2.1.0
Tokenizers 0.12.1
