|
|
--- |
|
|
license: apache-2.0 |
|
|
base_model: facebook/bart-large |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
metrics: |
|
|
- rouge |
|
|
model-index: |
|
|
- name: my_bart_model |
|
|
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. --> |
|
|
|
|
|
# my_bart_model |
|
|
|
|
|
This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on an unknown dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 0.3832 |
|
|
- Rouge1: 0.7947 |
|
|
- Rouge2: 0.6832 |
|
|
- Rougel: 0.7731 |
|
|
- Rougelsum: 0.7732 |
|
|
- Gen Len: 15.8956 |
|
|
|
|
|
## 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: 4 |
|
|
- mixed_precision_training: Native AMP |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
|
|
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| |
|
|
| 0.4469 | 1.0 | 2185 | 0.4639 | 0.7605 | 0.6319 | 0.7345 | 0.7346 | 15.8928 | |
|
|
| 0.3132 | 2.0 | 4370 | 0.4013 | 0.7766 | 0.6564 | 0.7516 | 0.7516 | 15.9322 | |
|
|
| 0.2214 | 3.0 | 6555 | 0.3802 | 0.7878 | 0.6734 | 0.7656 | 0.7657 | 15.986 | |
|
|
| 0.1673 | 4.0 | 8740 | 0.3832 | 0.7947 | 0.6832 | 0.7731 | 0.7732 | 15.8956 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.42.4 |
|
|
- Pytorch 2.4.0+cu121 |
|
|
- Datasets 2.21.0 |
|
|
- Tokenizers 0.19.1 |
|
|
|
