metadata
license: mit
library_name: peft
tags:
- generated_from_trainer
base_model: facebook/bart-large-cnn
model-index:
- name: dialogue_Summary_peft
results: []
dialogue_Summary_peft
This model is a fine-tuned version of facebook/bart-large-cnn on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.1174
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 |
|---|---|---|---|
| 4.8661 | 1.0 | 37 | 3.6682 |
| 3.2825 | 2.0 | 74 | 3.2444 |
| 2.5724 | 3.0 | 111 | 2.7218 |
| 2.4144 | 4.0 | 148 | 2.2614 |
| 2.1642 | 5.0 | 185 | 2.1174 |
Framework versions
- PEFT 0.9.0
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2