license: mit | |
tags: | |
- generated_from_trainer | |
metrics: | |
- rouge | |
model-index: | |
- name: bart-large-cnn-10k-pad-early-lit | |
results: [] | |
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should probably proofread and complete it, then remove this comment. --> | |
# bart-large-cnn-10k-pad-early-lit | |
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: 0.3758 | |
- Rouge1: 27.7351 | |
- Rouge2: 13.1664 | |
- Rougel: 21.6559 | |
- Rougelsum: 24.648 | |
- Gen Len: 69.343 | |
## 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: 10 | |
- mixed_precision_training: Native AMP | |
### Training results | |
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | | |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:| | |
| 0.2516 | 1.0 | 9998 | 0.3540 | 28.1151 | 13.3875 | 22.1496 | 25.1745 | 66.578 | | |
| 0.1747 | 2.0 | 19996 | 0.3758 | 27.7351 | 13.1664 | 21.6559 | 24.648 | 69.343 | | |
### Framework versions | |
- Transformers 4.16.2 | |
- Pytorch 1.10.2 | |
- Datasets 1.18.3 | |
- Tokenizers 0.11.0 | |