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pegasus-news2 – AI Model by Ujjawal4 | AlphaNeural AI
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Ujjawal4
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pegasus-news2
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pytorch
pegasus
generated_from_trainer
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pegasus-news2
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: 2.0915
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
2.3331
0.18
500
2.1900
2.3125
0.36
1000
2.1331
2.2709
0.53
1500
2.1131
2.2376
0.71
2000
2.0997
2.2208
0.89
2500
2.0915
Framework versions
Transformers 4.30.2
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3
