license: apache-2.0 | |
base_model: sshleifer/distilbart-xsum-12-3 | |
tags: | |
- generated_from_trainer | |
metrics: | |
- rouge | |
model-index: | |
- name: results | |
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. --> | |
# results | |
This model is a fine-tuned version of [sshleifer/distilbart-xsum-12-3](https://huggingface.co/sshleifer/distilbart-xsum-12-3) on an unknown dataset. | |
It achieves the following results on the evaluation set: | |
- Loss: 2.6835 | |
- Rouge1: 38.8257 | |
- Rouge2: 10.9645 | |
- Rougel: 19.5312 | |
- Rougelsum: 33.4613 | |
- Gen Len: 275.0 | |
## 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: 0.00034 | |
- 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 | |
- lr_scheduler_warmup_steps: 500 | |
- num_epochs: 3 | |
- label_smoothing_factor: 0.04 | |
### Training results | |
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | | |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:| | |
| 3.2378 | 1.0 | 500 | 3.1436 | 25.8277 | 5.2374 | 13.1124 | 24.06 | 299.0 | | |
| 2.804 | 2.0 | 1000 | 2.7802 | 32.9123 | 6.3884 | 16.0251 | 29.3143 | 241.0 | | |
| 2.5568 | 3.0 | 1500 | 2.6835 | 38.8257 | 10.9645 | 19.5312 | 33.4613 | 275.0 | | |
### Framework versions | |
- Transformers 4.39.3 | |
- Pytorch 2.1.2 | |
- Datasets 2.18.0 | |
- Tokenizers 0.15.2 | |