pegasus-large-wcep10

This model is a fine-tuned version of Awesome075/pegasus-large-wcep10 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 11.2750

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: 8
• eval_batch_size: 16
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 64
• optimizer: Use OptimizerNames.ADAFACTOR and the args are: No additional optimizer arguments
• lr_scheduler_type: linear
• training_steps: 90

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.2634	30	11.3390
No log	0.5269	60	11.2907
No log	0.7903	90	11.2750

Framework versions

• Transformers 5.0.0
• Pytorch 2.10.0+cu128
• Datasets 4.8.3
• Tokenizers 0.22.2