metadata
license: mit
base_model: indobenchmark/indobart-v2
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: nmt-bert
results: []
nmt-bert
This model is a fine-tuned version of indobenchmark/indobart-v2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5134
- Bleu: 12.5276
- Gen Len: 19.7772
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: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 1.0103 | 1.0 | 503 | 0.7001 | 9.036 | 19.7452 |
| 0.666 | 2.0 | 1006 | 0.6230 | 10.5729 | 19.7332 |
| 0.5776 | 3.0 | 1509 | 0.5784 | 11.1366 | 19.7648 |
| 0.5245 | 4.0 | 2012 | 0.5548 | 11.6349 | 19.7713 |
| 0.4821 | 5.0 | 2515 | 0.5389 | 11.903 | 19.769 |
| 0.4513 | 6.0 | 3018 | 0.5299 | 12.2062 | 19.7618 |
| 0.4269 | 7.0 | 3521 | 0.5215 | 12.3633 | 19.7713 |
| 0.4097 | 8.0 | 4024 | 0.5165 | 12.4102 | 19.7787 |
| 0.3976 | 9.0 | 4527 | 0.5144 | 12.4693 | 19.7792 |
| 0.3897 | 10.0 | 5030 | 0.5134 | 12.5276 | 19.7772 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3