metadata
license: mit
base_model: duancleypaul/bart-cnn-samsum-finetuned
tags:
- generated_from_trainer
model-index:
- name: bart-cnn-samsum-peft
results: []
bart-cnn-samsum-peft
This model is a fine-tuned version of duancleypaul/bart-cnn-samsum-finetuned on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1351
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: 15
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1088 | 1.0 | 148 | 0.1342 |
| 0.0754 | 2.0 | 296 | 0.1341 |
| 0.0947 | 3.0 | 444 | 0.1340 |
| 0.0982 | 4.0 | 592 | 0.1344 |
| 0.0704 | 5.0 | 740 | 0.1346 |
| 0.1018 | 6.0 | 888 | 0.1345 |
| 0.0904 | 7.0 | 1036 | 0.1341 |
| 0.091 | 8.0 | 1184 | 0.1346 |
| 0.0957 | 9.0 | 1332 | 0.1346 |
| 0.0785 | 10.0 | 1480 | 0.1345 |
| 0.104 | 11.0 | 1628 | 0.1348 |
| 0.1111 | 12.0 | 1776 | 0.1349 |
| 0.0839 | 13.0 | 1924 | 0.1350 |
| 0.0828 | 14.0 | 2072 | 0.1351 |
| 0.0925 | 15.0 | 2220 | 0.1351 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2