metadata
base_model: NghiemAbe/mbart_VietnameseToEnglish
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: mbart_VietnameseToEnglish_60k
results: []
mbart_VietnameseToEnglish_60k
This model is a fine-tuned version of NghiemAbe/mbart_VietnameseToEnglish on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.4557
- Bleu: 27.1385
- Gen Len: 33.638
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: 5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- 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 |
---|---|---|---|---|---|
1.1212 | 1.0 | 3750 | 1.4557 | 27.1385 | 33.638 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1