license: mit | |
tags: | |
- generated_from_trainer | |
metrics: | |
- rouge | |
model-index: | |
- name: bart-large-cnn-100-lit-evalMA-NOpad | |
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-100-lit-evalMA-NOpad | |
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: 2.1514 | |
- Rouge1: 27.5985 | |
- Rouge2: 11.3869 | |
- Rougel: 20.9359 | |
- Rougelsum: 24.7113 | |
- Gen Len: 62.5 | |
## 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: 5 | |
- mixed_precision_training: Native AMP | |
### Training results | |
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | | |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:| | |
| No log | 1.0 | 100 | 1.7982 | 28.7996 | 11.2592 | 19.7524 | 25.2125 | 62.5 | | |
| No log | 2.0 | 200 | 2.1514 | 27.5985 | 11.3869 | 20.9359 | 24.7113 | 62.5 | | |
### Framework versions | |
- Transformers 4.16.2 | |
- Pytorch 1.10.2 | |
- Datasets 1.18.3 | |
- Tokenizers 0.11.0 | |