metadata
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: []
bart-cnn-samsum-peft
This model is a fine-tuned version of percymamedy/bart-cnn-samsum-finetuned on the samsum dataset. It achieves the following results on the evaluation set:
- Loss: 0.1346
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 |
|---|---|---|---|
| 0.0788 | 1.0 | 19 | 0.1345 |
| 0.0872 | 2.0 | 38 | 0.1345 |
| 0.0778 | 3.0 | 57 | 0.1345 |
| 0.0796 | 4.0 | 76 | 0.1346 |
| 0.0924 | 5.0 | 95 | 0.1346 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1