bart-cnn-samsum-peft
This model is a fine-tuned version of ingeniumacademy/bart-cnn-samsum-finetuned on the samsum dataset. It achieves the following results on the evaluation set:
- Loss: 0.1347
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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0783 | 1.0 | 19 | 0.1346 |
| 0.087 | 2.0 | 38 | 0.1347 |
| 0.0775 | 3.0 | 57 | 0.1346 |
| 0.0794 | 4.0 | 76 | 0.1346 |
| 0.0921 | 5.0 | 95 | 0.1347 |
Framework versions
- PEFT 0.14.0
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
- 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 rfeiglew/bart-cnn-samsum-peft
Base model
facebook/bart-large-cnn