bart-cnn-Context-Based-Chat-Summary-Plus-finetuned-peft
This model is a fine-tuned version of facebook/bart-large-cnn on the None dataset. It achieves the following results on the evaluation set:
- Loss: 8.0905
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 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 |
|---|---|---|---|
| 10.6474 | 1.0 | 88 | 10.4464 |
| 9.7858 | 2.0 | 176 | 9.5980 |
| 9.0083 | 3.0 | 264 | 8.8691 |
| 8.3492 | 4.0 | 352 | 8.3069 |
| 8.1174 | 5.0 | 440 | 8.0905 |
Framework versions
- PEFT 0.14.0
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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Base model
facebook/bart-large-cnn