metadata
base_model: smazhug2024/bart-cnn-samsum-finetuned
datasets:
- samsum
library_name: peft
license: mit
tags:
- generated_from_trainer
model-index:
- name: bart-cnn-samsum-peft
results: []
bart-cnn-samsum-peft
This model is a fine-tuned version of smazhug2024/bart-cnn-samsum-finetuned on the samsum dataset. It achieves the following results on the evaluation set:
- Loss: 0.1361
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 |
|---|---|---|---|
| 0.0918 | 1.0 | 19 | 0.1363 |
| 0.0959 | 2.0 | 38 | 0.1362 |
| 0.0916 | 3.0 | 57 | 0.1361 |
| 0.0878 | 4.0 | 76 | 0.1361 |
| 0.1026 | 5.0 | 95 | 0.1361 |
Framework versions
- PEFT 0.11.1
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1