metadata
base_model: Marocboy1998/bart-cnn-samsum-full_parameter_finetuned
datasets:
- samsum
library_name: peft
license: mit
tags:
- generated_from_trainer
model-index:
- name: bart-cnn-samsum-PEFT
results: []
bart-cnn-samsum-PEFT
This model is a fine-tuned version of Marocboy1998/bart-cnn-samsum-full_parameter_finetuned on the samsum dataset. It achieves the following results on the evaluation set:
- Loss: 0.1426
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 |
|---|---|---|---|
| 0.0383 | 1.0 | 19 | 0.1421 |
| 0.0406 | 2.0 | 38 | 0.1422 |
| 0.0354 | 3.0 | 57 | 0.1423 |
| 0.0361 | 4.0 | 76 | 0.1423 |
| 0.0429 | 5.0 | 95 | 0.1424 |
| 0.0383 | 6.0 | 114 | 0.1424 |
| 0.0409 | 7.0 | 133 | 0.1425 |
| 0.0371 | 8.0 | 152 | 0.1425 |
| 0.0421 | 9.0 | 171 | 0.1426 |
| 0.044 | 10.0 | 190 | 0.1426 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1