bart-cnn-samsum-peft
This model is a fine-tuned version of haymanhtun/bart-cnn-samsum-finetuned on the samsum dataset. It achieves the following results on the evaluation set:
- Loss: 0.2752
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 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
Framework versions
- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.1
- Tokenizers 0.21.1
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Model tree for haymanhtun/bart-cnn-samsum-peft
Base model
facebook/bart-large-cnn
Finetuned
haymanhtun/bart-cnn-samsum-finetuned