pegasus-x-large-annual-report-QLoRA-fine-tuned-v1.2

This model is a fine-tuned version of pszemraj/pegasus-x-large-book-summary on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.4437

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: 0.0002
• train_batch_size: 4
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• 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: 1
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
0.5953	0.992	62	0.4814
0.5178	2.0	125	0.4507
0.4823	2.976	186	0.4437

Framework versions

• PEFT 0.10.0
• Transformers 4.41.0.dev0
• Pytorch 2.2.1+cu118
• Datasets 2.14.5
• Tokenizers 0.19.1