---
base_model: led-large-annual-report-QLoRA-fine-tuned-v0.9-merged
library_name: peft
tags:
- generated_from_trainer
model-index:
- name: led-large-annual-report-QLoRA-fine-tuned-v0.9.7-openai
  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-v0.9.7-openai

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 1.5254
- eval_runtime: 168.5711
- eval_samples_per_second: 0.308
- eval_steps_per_second: 0.154
- epoch: 2.028
- step: 1014

## 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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 3
- mixed_precision_training: Native AMP

### Framework versions

- PEFT 0.10.0
- Transformers 4.44.2
- Pytorch 2.4.1+cu124
- Datasets 2.14.5
- Tokenizers 0.19.1