peft safetensors Summarization generated_from_trainer base_model:pszemraj/led-large-book-summary base_model:adapter:pszemraj/led-large-book-summary license:bsd-3-clause region:us
---
base_model: pszemraj/led-large-book-summary
library_name: peft
license: bsd-3-clause
tags:
- Summarization
- generated_from_trainer
model-index:
- name: led-large-annual-report-QLoRA-fine-tuned-v0.10
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# led-large-annual-report-QLoRA-fine-tuned-v0.10

This model is a fine-tuned version of [pszemraj/led-large-book-summary](https://huggingface.co/pszemraj/led-large-book-summary) on an unknown dataset.

## 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: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- PEFT 0.10.0
- Transformers 4.43.3
- Pytorch 2.2.1+cu118
- Datasets 2.14.5
- Tokenizers 0.19.1