metadata
base_model: vinai/bartpho-syllable-base
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: apply_back_translation_model_v5_2k
results: []
apply_back_translation_model_v5_2k
This model is a fine-tuned version of vinai/bartpho-syllable-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.8175
- Bleu: 9.3599
- Gen Len: 17.9607
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: 1
- eval_batch_size: 1
- 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 | Bleu | Gen Len |
---|---|---|---|---|---|
1.9856 | 1.0 | 11627 | 1.8175 | 9.3599 | 17.9607 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2