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: 2.7537
Rouge1: 19.127
Rouge2: 7.708
Rougel: 15.4243
Rougelsum: 17.2375
Bleu-1: 0.0039
Bleu-2: 0.0023
Bleu-3: 0.0013
Bleu-4: 0.0006
Gen Len: 19.995

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
3.0137	1.0	10886	2.7537	19.127	7.708	15.4243	17.2375	0.0039	0.0023	0.0013	0.0006	19.995

Framework versions

Transformers 4.35.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.14.1