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pegasus-samsum – AI Model by abdulmatinomotoso | AlphaNeural AI
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abdulmatinomotoso
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pegasus-samsum
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transformers
tensorboard
safetensors
pegasus
text2text-generation
generated_from_trainer
google/pegasus-multi_news
finetune
endpoints_compatible
us
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pegasus-samsum
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: 0.6418
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
1.5784
0.16
500
0.9738
0.8156
0.32
1000
0.7155
0.7658
0.48
1500
0.6780
0.7112
0.64
2000
0.6582
0.6611
0.81
2500
0.6469
0.7505
0.97
3000
0.6418
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.1
