metadata
license: mit
base_model: facebook/bart-large-cnn
tags:
- generated_from_trainer
model-index:
- name: bart-cnn-samsum-peft-trained-x
results: []
bart-cnn-samsum-peft-trained-x
This model is a fine-tuned version of facebook/bart-large-cnn on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0489
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
- lr_scheduler_warmup_steps: 500
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.7177 | 1.0 | 200 | 2.2686 |
| 0.1079 | 2.0 | 400 | 0.0782 |
| 0.0679 | 3.0 | 600 | 0.0565 |
| 0.0639 | 4.0 | 800 | 0.0528 |
| 0.052 | 5.0 | 1000 | 0.0509 |
| 0.0542 | 6.0 | 1200 | 0.0498 |
| 0.0545 | 7.0 | 1400 | 0.0491 |
| 0.0542 | 8.0 | 1600 | 0.0489 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0