metadata
license: mit
base_model: ingeniumacademy/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 ingeniumacademy/bart-cnn-samsum-finetuned on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2314
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 |
|---|---|---|---|
| 0.0678 | 1.0 | 74 | 0.2362 |
| 0.0884 | 2.0 | 148 | 0.2325 |
| 0.0802 | 3.0 | 222 | 0.2268 |
| 0.0864 | 4.0 | 296 | 0.2306 |
| 0.0871 | 5.0 | 370 | 0.2314 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1