---
base_model: ifyou819/summary-bbc-dataset-v5
tags:
- generated_from_trainer
model-index:
- name: summary-bbc-dataset-v6
  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-v6

This model is a fine-tuned version of [ifyou819/summary-bbc-dataset-v5](https://huggingface.co/ifyou819/summary-bbc-dataset-v5) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1532

## 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: 2e-08
- 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.3584        | 1.0   | 100  | 1.1533          |
| 1.6453        | 2.0   | 200  | 1.1533          |
| 1.4439        | 3.0   | 300  | 1.1533          |
| 1.4338        | 4.0   | 400  | 1.1532          |
| 1.5266        | 5.0   | 500  | 1.1532          |

### ROUGE

- ROUGE-1:  0.5341943524066477
- ROUGE-2:  0.3911030610318238
- ROUGE-L:  0.4204449670524875

### Framework versions

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