|
--- |
|
license: apache-2.0 |
|
base_model: facebook/bart-base |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- rouge |
|
model-index: |
|
- name: test-dialogue-summarization |
|
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. --> |
|
|
|
# test-dialogue-summarization |
|
|
|
This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.8387 |
|
- Rouge1: 48.1775 |
|
- Rouge2: 24.5925 |
|
- Rougel: 40.3237 |
|
- Rougelsum: 43.9647 |
|
- Gen Len: 18.4707 |
|
|
|
## 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: 5e-05 |
|
- train_batch_size: 4 |
|
- eval_batch_size: 4 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 2 |
|
- total_train_batch_size: 8 |
|
- 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 | |
|
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:| |
|
| 1.8408 | 1.0 | 1841 | 1.5902 | 47.4895 | 24.7763 | 40.0228 | 44.4895 | 18.5159 | |
|
| 1.5348 | 2.0 | 3683 | 1.5498 | 48.0242 | 24.8392 | 40.559 | 44.2542 | 17.6015 | |
|
| 1.3076 | 3.0 | 5524 | 1.5561 | 48.5695 | 25.9259 | 41.4698 | 44.6406 | 17.4658 | |
|
| 1.1286 | 4.0 | 7366 | 1.5796 | 48.5079 | 25.1521 | 40.8084 | 44.6149 | 18.4364 | |
|
| 0.9956 | 5.0 | 9207 | 1.6134 | 49.1351 | 25.6367 | 41.3139 | 45.0814 | 18.3313 | |
|
| 0.8668 | 6.0 | 11049 | 1.6679 | 49.002 | 25.4589 | 41.1276 | 44.787 | 18.4853 | |
|
| 0.7696 | 7.0 | 12890 | 1.7327 | 48.1978 | 25.0238 | 40.6671 | 44.3866 | 18.3374 | |
|
| 0.69 | 8.0 | 14732 | 1.7603 | 48.7522 | 25.0831 | 40.8193 | 44.4452 | 18.4597 | |
|
| 0.6175 | 9.0 | 16573 | 1.8092 | 48.2747 | 24.8563 | 40.3027 | 44.1975 | 18.3729 | |
|
| 0.5701 | 10.0 | 18410 | 1.8387 | 48.1775 | 24.5925 | 40.3237 | 43.9647 | 18.4707 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.37.2 |
|
- Pytorch 2.1.0+cu121 |
|
- Datasets 2.17.1 |
|
- Tokenizers 0.15.2 |
|
|
