apply_back_translation_model_v5_3k
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: 1.8088
- Bleu: 9.4976
- Gen Len: 18.0515
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 |
|---|---|---|---|---|---|
| 1.9944 | 1.0 | 12527 | 1.8088 | 9.4976 | 18.0515 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
- Downloads last month
- 107
Inference Providers
NEW
This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.
Model tree for long292/apply_back_translation_model_v5_3k
Base model
vinai/bartpho-syllable-base