---
library_name: peft
license: mit
base_model: facebook/bart-large-cnn
tags:
- generated_from_trainer
model-index:
- name: bart-cnn-Context-Based-Chat-Summary-Plus-finetuned-peft
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bart-cnn-Context-Based-Chat-Summary-Plus-finetuned-peft

This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 8.0905

## 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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 10.6474       | 1.0   | 88   | 10.4464         |
| 9.7858        | 2.0   | 176  | 9.5980          |
| 9.0083        | 3.0   | 264  | 8.8691          |
| 8.3492        | 4.0   | 352  | 8.3069          |
| 8.1174        | 5.0   | 440  | 8.0905          |


### Framework versions

- PEFT 0.14.0
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0