license: apache-2.0 | |
tags: | |
- generated_from_trainer | |
metrics: | |
- rouge | |
model-index: | |
- name: bart-base-vn-ehealth | |
results: [] | |
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# bart-base-vn-ehealth | |
This model is a fine-tuned version of [GuysTrans/bart-base-vn-ehealth](https://huggingface.co/GuysTrans/bart-base-vn-ehealth) on the None dataset. | |
It achieves the following results on the evaluation set: | |
- Loss: 0.5155 | |
- Rouge1: 8.5691 | |
- Rouge2: 3.7233 | |
- Rougel: 8.1173 | |
- Rougelsum: 8.2367 | |
- Gen Len: 20.0 | |
## 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: 2e-05 | |
- 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 | |
- num_epochs: 1 | |
### Training results | |
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | | |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| | |
| 0.5827 | 1.0 | 17418 | 0.5155 | 8.5691 | 3.7233 | 8.1173 | 8.2367 | 20.0 | | |
### Framework versions | |
- Transformers 4.30.2 | |
- Pytorch 2.0.0 | |
- Datasets 2.1.0 | |
- Tokenizers 0.13.3 | |