metadata
license: mit
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: vit5-base-vietnews-summarization-finetuned-VN
results: []
vit5-base-vietnews-summarization-finetuned-VN
This model is a fine-tuned version of VietAI/vit5-base-vietnews-summarization on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.2948
- Rouge1: 44.6968
- Gen Len: 18.9868
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
Training Loss | Epoch | Step | Validation Loss | Rouge1 | Gen Len |
---|---|---|---|---|---|
No log | 1.0 | 266 | 2.3453 | 44.2183 | 18.9519 |
2.5909 | 2.0 | 533 | 2.2875 | 44.4436 | 18.9700 |
2.5909 | 3.0 | 799 | 2.2792 | 44.4199 | 18.9791 |
1.9843 | 4.0 | 1066 | 2.2806 | 44.6514 | 18.9833 |
1.9843 | 4.99 | 1330 | 2.2948 | 44.6968 | 18.9868 |
Framework versions
- Transformers 4.30.0
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.13.3