metadata
license: apache-2.0
base_model: GuysTrans/bart-base-vn-re-attention
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-base-vn-re-attention
results: []
bart-base-vn-re-attention
This model is a fine-tuned version of GuysTrans/bart-base-vn-re-attention on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.8111
- Rouge1: 19.1491
- Rouge2: 7.8177
- Rougel: 15.9445
- Rougelsum: 17.5674
- Bleu-1: 0.0029
- Bleu-2: 0.0016
- Bleu-3: 0.0009
- Bleu-4: 0.0005
- Gen Len: 19.9838
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: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Bleu-1 | Bleu-2 | Bleu-3 | Bleu-4 | Gen Len |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1.9865 | 1.0 | 10886 | 1.8111 | 19.1491 | 7.8177 | 15.9445 | 17.5674 | 0.0029 | 0.0016 | 0.0009 | 0.0005 | 19.9838 |
Framework versions
- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3