---
library_name: peft
license: apache-2.0
base_model: facebook/bart-base
tags:
- base_model:adapter:facebook/bart-base
- lora
- transformers
model-index:
- name: bart_lora_output
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bart_lora_output

This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 9.7825

## 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: 0.0001
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 10.1285       | 0.5   | 50   | 10.2587         |
| 9.0444        | 1.0   | 100  | 9.7825          |


### Framework versions

- PEFT 0.17.1
- Transformers 4.57.0
- Pytorch 2.8.0+cu126
- Datasets 4.2.0
- Tokenizers 0.22.1