|
--- |
|
license: mit |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- rouge |
|
base_model: facebook/bart-large-cnn |
|
model-index: |
|
- name: bart-large-cnn-summarizer_03 |
|
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-large-cnn-summarizer_03 |
|
|
|
This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.0999 |
|
- Rouge1: 51.6222 |
|
- Rouge2: 33.428 |
|
- Rougel: 40.2093 |
|
- Rougelsum: 47.7154 |
|
- Gen Len: 102.7962 |
|
|
|
## 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: 1 |
|
- eval_batch_size: 1 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 3 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
|
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:--------:| |
|
| 0.9348 | 1.0 | 17166 | 0.9969 | 51.0763 | 32.9497 | 39.6851 | 47.0744 | 99.664 | |
|
| 0.7335 | 2.0 | 34332 | 1.0019 | 51.8002 | 33.8081 | 40.5887 | 47.9445 | 99.7884 | |
|
| 0.471 | 3.0 | 51498 | 1.0999 | 51.6222 | 33.428 | 40.2093 | 47.7154 | 102.7962 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.12.3 |
|
- Pytorch 1.9.0+cu111 |
|
- Datasets 1.15.1 |
|
- Tokenizers 0.10.3 |
|
|
