pegasus-samsum – AI Model by ConnorScott | AlphaNeural AI

You can deploy this model and start earning money today!

ConnorScott/
pegasus-samsum

like

0

text2text-generation

generated_from_trainer

google/pegasus-cnn_dailymail

endpoints_compatible

Views

No views yet

pegasus-samsum

This model is a fine-tuned version of google/pegasus-cnn_dailymail on the samsum dataset. It achieves the following results on the evaluation set:

Loss: 1.4825

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
1.6541	0.5430	500	1.4825

Framework versions

Transformers 4.40.2
Pytorch 2.3.1+cpu
Datasets 2.19.1
Tokenizers 0.19.1