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pegasus-samsumTech – AI Model by sarathkumar93 | AlphaNeural AI
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pegasus-samsumTech
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tensorboard
safetensors
bart
generated_from_trainer
philschmid/bart-large-cnn-samsum
finetune
mit
us
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pegasus-samsumTech
This model is a fine-tuned version of
philschmid/bart-large-cnn-samsum
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.3361
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
0.2682
0.54
500
0.3361
Framework versions
Transformers 4.35.2
Pytorch 2.1.1+cu121
Datasets 2.14.5
Tokenizers 0.15.1
