---
base_model: ifyou819/summary-bbc-dataset-v3
tags:
- generated_from_trainer
model-index:
- name: summary-bbc-dataset-v4
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# summary-bbc-dataset-v4

This model is a fine-tuned version of [ifyou819/summary-bbc-dataset-v3](https://huggingface.co./ifyou819/summary-bbc-dataset-v3) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.2621

## 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-06
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.2299        | 1.0   | 389  | 3.4385          |
| 3.56          | 2.0   | 778  | 3.3635          |
| 4.2156        | 3.0   | 1167 | 3.3195          |
| 4.1832        | 4.0   | 1556 | 3.3035          |

### ROUGE

- ROUGE-1:  0.5040214396428574
- ROUGE-2:  0.3629922009566342
- ROUGE-L:  0.3890022946297522

### Framework versions

- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.19.1