license: mit | |
tags: | |
- generated_from_trainer | |
metrics: | |
- rouge | |
base_model: facebook/bart-large-cnn | |
model-index: | |
- name: bart-large-cnn_summarizer_30216 | |
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_30216 | |
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: 0.9800 | |
- Rouge1: 51.6258 | |
- Rouge2: 33.4629 | |
- Rougel: 40.3034 | |
- Rougelsum: 47.8482 | |
- Gen Len: 105.0622 | |
## 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: 2 | |
- eval_batch_size: 2 | |
- 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 | | |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:--------:| | |
| 0.8653 | 1.0 | 12086 | 0.9274 | 51.1144 | 32.972 | 39.8981 | 47.2905 | 100.2417 | | |
| 0.6741 | 2.0 | 24172 | 0.9330 | 51.5965 | 33.5021 | 40.4048 | 47.8046 | 103.9732 | | |
| 0.4802 | 3.0 | 36258 | 0.9800 | 51.6258 | 33.4629 | 40.3034 | 47.8482 | 105.0622 | | |
### Framework versions | |
- Transformers 4.23.1 | |
- Pytorch 1.12.1+cu113 | |
- Datasets 2.6.1 | |
- Tokenizers 0.13.1 | |