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---
license: mit
library_name: peft
tags:
- generated_from_trainer
base_model: Shre09/bart-cnn-samsum-finetuned
model-index:
- name: bart-cnn-samsum-peft
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-cnn-samsum-peft
This model is a fine-tuned version of [Shre09/bart-cnn-samsum-finetuned](https://huggingface.co./Shre09/bart-cnn-samsum-finetuned) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1415
## 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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.0794 | 1.0 | 37 | 0.1410 |
| 0.0845 | 2.0 | 74 | 0.1414 |
| 0.0894 | 3.0 | 111 | 0.1416 |
| 0.073 | 4.0 | 148 | 0.1415 |
| 0.0807 | 5.0 | 185 | 0.1415 |
### Framework versions
- PEFT 0.10.0
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2 |