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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 |