metadata
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-large-chinese-cnhdwriter
results: []
bart-large-chinese-cnhdwriter
This model is a fine-tuned version of fnlp/bart-large-chinese on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.7252
- Rouge1: 15.5844
- Rouge2: 2.1522
- Rougel: 15.5443
- Rougelsum: 15.5603
- Gen Len: 19.3469
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 |
|---|---|---|---|---|---|---|---|---|
| 1.2431 | 1.0 | 32000 | 1.1646 | 15.6512 | 2.0244 | 15.6212 | 15.6283 | 18.7906 |
| 0.8739 | 2.0 | 64000 | 1.1694 | 15.5784 | 2.255 | 15.5413 | 15.5504 | 19.2405 |
| 0.6178 | 3.0 | 96000 | 1.2520 | 15.5932 | 2.2286 | 15.5458 | 15.5546 | 19.3576 |
| 0.4016 | 4.0 | 128000 | 1.5014 | 15.3701 | 2.0511 | 15.3595 | 15.3654 | 19.2426 |
| 0.235 | 5.0 | 160000 | 1.7252 | 15.5844 | 2.1522 | 15.5443 | 15.5603 | 19.3469 |
Framework versions
- Transformers 4.15.0
- Pytorch 1.10.0+cu111
- Datasets 1.17.0
- Tokenizers 0.10.3