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: 0.1345
Model description
More information needed
Intended uses & limitations
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Training and evaluation data
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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 |
|---|---|---|---|
| 0.0788 | 1.0 | 19 | 0.1344 |
| 0.0873 | 2.0 | 38 | 0.1345 |
| 0.0778 | 3.0 | 57 | 0.1345 |
| 0.0796 | 4.0 | 76 | 0.1345 |
| 0.0924 | 5.0 | 95 | 0.1345 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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Base model
facebook/bart-large-cnn