---
library_name: peft
base_model: owenMills/bart-pas-model
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-pas-lora
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# bart-pas-lora

This model is a fine-tuned version of [owenMills/bart-pas-model](https://huggingface.co/owenMills/bart-pas-model) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.0678
- Rouge1: 19.51
- Rouge2: 8.76
- Rougel: 17.44
- Rougelsum: 17.41

## 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
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 10
- mixed_precision_training: Native AMP
- label_smoothing_factor: 0.1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
| 4.4614        | 0.96  | 15   | 4.7799          | 15.27  | 6.55   | 12.8   | 13.24     |
| 4.3888        | 1.96  | 30   | 4.5425          | 14.55  | 7.1    | 12.76  | 13.17     |
| 4.4672        | 2.96  | 45   | 4.3419          | 15.48  | 7.45   | 13.79  | 14.02     |
| 3.3327        | 3.96  | 60   | 4.2166          | 15.96  | 8.45   | 14.57  | 14.89     |
| 3.5467        | 4.96  | 75   | 4.1432          | 16.18  | 6.44   | 13.94  | 13.99     |
| 4.4243        | 5.96  | 90   | 4.1056          | 18.16  | 7.4    | 16.03  | 16.1      |
| 4.6372        | 6.96  | 105  | 4.0792          | 18.67  | 8.16   | 16.96  | 16.98     |
| 4.4094        | 7.96  | 120  | 4.0678          | 19.51  | 8.76   | 17.44  | 17.41     |
| 4.3115        | 8.96  | 135  | 4.0601          | 19.45  | 7.79   | 17.18  | 17.24     |
| 4.4145        | 9.96  | 150  | 4.0572          | 19.44  | 7.79   | 17.17  | 17.23     |


### Framework versions

- PEFT 0.13.2
- Transformers 4.49.0
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.4