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multi_news_article_title_25000_2 – AI Model by abdulmatinomotoso | AlphaNeural AI
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abdulmatinomotoso
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multi_news_article_title_25000_2
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transformers
pytorch
tensorboard
pegasus
text2text-generation
generated_from_trainer
endpoints_compatible
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multi_news_article_title_25000_2
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: 0.1740
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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
0.3431
0.32
500
0.2731
0.2136
0.64
1000
0.2028
0.215
0.96
1500
0.1880
0.1972
1.28
2000
0.1809
0.1903
1.6
2500
0.1760
0.1886
1.92
3000
0.1740
Framework versions
Transformers 4.18.0
Pytorch 1.11.0
Datasets 2.1.0
Tokenizers 0.12.1
