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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: 0.2259
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0766 | 1.0 | 74 | 0.2375 |
| 0.0976 | 2.0 | 148 | 0.2499 |
| 0.0684 | 3.0 | 222 | 0.2361 |
| 0.085 | 4.0 | 296 | 0.2273 |
| 0.0898 | 5.0 | 370 | 0.2259 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
