bart_cnn_samsun_peft
This model is a fine-tuned version of zeerobug/bart_cnn_samsun_finetuned on the samsum dataset. It achieves the following results on the evaluation set:
- Loss: 0.0615
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 |
---|---|---|---|
0.0439 | 1.0 | 74 | 0.0614 |
0.0346 | 2.0 | 148 | 0.0615 |
0.0382 | 3.0 | 222 | 0.0615 |
0.0314 | 4.0 | 296 | 0.0615 |
0.031 | 5.0 | 370 | 0.0615 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
Model tree for zeerobug/bart_cnn_samsun_peft
Base model
facebook/bart-large-cnn
Finetuned
zeerobug/bart_cnn_samsun_finetuned