---
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: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# pegasus-x-large-annual-report-QLoRA-fine-tuned-v1.2

This model is a fine-tuned version of [pszemraj/pegasus-x-large-book-summary](https://huggingface.co/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