metadata
base_model: robercg33/distilbart-cnn-12-6-finetuned
tags:
- generated_from_trainer
model-index:
- name: robadri_summ_v1
results: []
robadri_summ_v1
This model is a fine-tuned version of robercg33/distilbart-cnn-12-6-finetuned on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1886
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: 5e-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 |
|---|---|---|---|
| No log | 1.0 | 266 | 1.0832 |
| 1.2203 | 2.0 | 532 | 1.1000 |
| 1.2203 | 3.0 | 798 | 1.1211 |
| 0.841 | 4.0 | 1064 | 1.1581 |
| 0.841 | 5.0 | 1330 | 1.1886 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1