metadata

license: bsd-3-clause
library_name: peft
tags:
  - Summarization
  - generated_from_trainer
base_model: pszemraj/pegasus-x-large-book-summary
model-index:
  - name: pegasus-x-large-annual-report-QLoRA-fine-tuned-v1.2
    results: []

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: 0.8273

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: 1
eval_batch_size: 8
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
lr_scheduler_warmup_steps: 1
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
1.1182	1.0	2	0.8273

Framework versions

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