|
--- |
|
base_model: facebook/bart-large-cnn |
|
library_name: peft |
|
license: mit |
|
metrics: |
|
- rouge |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: legal_bart_large_cnn |
|
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. --> |
|
|
|
# legal_bart_large_cnn |
|
|
|
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: 2.2520 |
|
- Rouge1: 0.489 |
|
- Rouge2: 0.2433 |
|
- Rougel: 0.3262 |
|
- Rougelsum: 0.3267 |
|
- Gen Len: 137.2973 |
|
|
|
## 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: 16 |
|
- eval_batch_size: 16 |
|
- 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 | |
|
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:--------:| |
|
| No log | 1.0 | 352 | 2.3127 | 0.4831 | 0.2372 | 0.3195 | 0.3198 | 136.5541 | |
|
| 2.4898 | 2.0 | 704 | 2.2627 | 0.4883 | 0.2432 | 0.3257 | 0.326 | 136.9211 | |
|
| 2.3583 | 3.0 | 1056 | 2.2520 | 0.489 | 0.2433 | 0.3262 | 0.3267 | 137.2973 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.11.1 |
|
- Transformers 4.41.2 |
|
- Pytorch 2.3.0+cu121 |
|
- Datasets 2.20.0 |
|
- Tokenizers 0.19.1 |
