bart-cnn-samsum-peft
This model is a fine-tuned version of viny123/bart-cnn-samsum-finetuned on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1380
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 OptimizerNames.ADAMW_TORCH_FUSED 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 |
|---|---|---|---|
| 0.0361 | 1.0 | 19 | 0.1379 |
| 0.0507 | 2.0 | 38 | 0.1380 |
| 0.044 | 3.0 | 57 | 0.1380 |
| 0.046 | 4.0 | 76 | 0.1380 |
| 0.0523 | 5.0 | 95 | 0.1380 |
Framework versions
- PEFT 0.17.1
- Transformers 4.56.2
- Pytorch 2.8.0+cu126
- Datasets 4.1.1
- Tokenizers 0.22.0
- Downloads last month
- 3
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support
Model tree for viny123/bart-cnn-samsum-peft
Base model
facebook/bart-large-cnn Finetuned
viny123/bart-cnn-samsum-finetuned