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: 0.1343
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
- Downloads last month
- 1
Inference Providers
NEW
This model is not currently available via any of the supported third-party Inference Providers, and
HF Inference API was unable to determine this model’s pipeline type.
Model tree for percymamedy/bart-cnn-samsum-peft
Base model
facebook/bart-large-cnn
Finetuned
percymamedy/bart-cnn-samsum-finetuned