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pegasus_conversation-summ – AI Model by apatidar0 | AlphaNeural AI

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apatidar0/
pegasus_conversation-summ

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text2text-generation

generated_from_trainer

endpoints_compatible

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pegasus_conversation-summ

This model is a fine-tuned version of google/pegasus-xsum on the samsum dataset.

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: 2e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 2
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP

Framework versions

Transformers 4.26.0
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2