metadata
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-base-vn-re-attention-vn-tokenizer
results: []
bart-base-vn-re-attention-vn-tokenizer
This model is a fine-tuned version of facebook/bart-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.2903
- Rouge1: 21.0633
- Rouge2: 10.2178
- Rougel: 17.0427
- Rougelsum: 19.191
- Bleu-1: 0.0042
- Bleu-2: 0.0025
- Bleu-3: 0.0013
- Bleu-4: 0.0007
- Gen Len: 19.9994
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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Bleu-1 | Bleu-2 | Bleu-3 | Bleu-4 | Gen Len |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2.4987 | 1.0 | 10886 | 2.2903 | 21.0633 | 10.2178 | 17.0427 | 19.191 | 0.0042 | 0.0025 | 0.0013 | 0.0007 | 19.9994 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.14.1