|
--- |
|
license: apache-2.0 |
|
base_model: GuysTrans/bart-base-finetuned-xsum |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- rouge |
|
model-index: |
|
- name: bart-base-generation |
|
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. --> |
|
|
|
# bart-base-generation |
|
|
|
This model is a fine-tuned version of [GuysTrans/bart-base-finetuned-xsum](https://huggingface.co/GuysTrans/bart-base-finetuned-xsum) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.1193 |
|
- Rouge1: 16.67 |
|
- Rouge2: 12.3466 |
|
- Rougel: 15.9675 |
|
- Rougelsum: 16.4462 |
|
- Bleu-1: 0.0065 |
|
- Bleu-2: 0.0059 |
|
- Bleu-3: 0.0056 |
|
- Bleu-4: 0.0055 |
|
- Gen Len: 20.0 |
|
|
|
## 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-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: 1 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Bleu-1 | Bleu-2 | Bleu-3 | Bleu-4 | Gen Len | |
|
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|:-------:|:---------:|:------:|:------:|:------:|:------:|:-------:| |
|
| 2.1879 | 1.0 | 28600 | 1.1193 | 16.67 | 12.3466 | 15.9675 | 16.4462 | 0.0065 | 0.0059 | 0.0056 | 0.0055 | 20.0 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.33.0 |
|
- Pytorch 2.0.0 |
|
- Datasets 2.1.0 |
|
- Tokenizers 0.13.3 |
|
|
