|
--- |
|
license: mit |
|
library_name: peft |
|
tags: |
|
- generated_from_trainer |
|
base_model: percymamedy/bart-cnn-samsum-finetuned |
|
datasets: |
|
- samsum |
|
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 [percymamedy/bart-cnn-samsum-finetuned](https://huggingface.co/percymamedy/bart-cnn-samsum-finetuned) on the samsum dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.1343 |
|
|
|
## 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: 10 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 0.078 | 1.0 | 19 | 0.1347 | |
|
| 0.0865 | 2.0 | 38 | 0.1346 | |
|
| 0.0768 | 3.0 | 57 | 0.1345 | |
|
| 0.0789 | 4.0 | 76 | 0.1344 | |
|
| 0.0914 | 5.0 | 95 | 0.1344 | |
|
| 0.0835 | 6.0 | 114 | 0.1343 | |
|
| 0.0865 | 7.0 | 133 | 0.1343 | |
|
| 0.0806 | 8.0 | 152 | 0.1343 | |
|
| 0.0884 | 9.0 | 171 | 0.1343 | |
|
| 0.0934 | 10.0 | 190 | 0.1343 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.11.1 |
|
- Transformers 4.41.2 |
|
- Pytorch 2.3.0+cu121 |
|
- Datasets 2.20.0 |
|
- Tokenizers 0.19.1 |