metadata
library_name: transformers
license: cc-by-nc-4.0
base_model: facebook/nllb-200-distilled-1.3B
tags:
- generated_from_trainer
model-index:
- name: touno_english_to_taglish
results: []
touno_english_to_taglish
This model is a fine-tuned version of facebook/nllb-200-distilled-1.3B on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2274
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: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.3184 | 1.0 | 56 | 1.8555 |
| 1.6786 | 2.0 | 112 | 1.3361 |
| 1.3304 | 3.0 | 168 | 1.2605 |
| 1.18 | 4.0 | 224 | 1.2292 |
| 1.1077 | 5.0 | 280 | 1.2118 |
| 1.0331 | 6.0 | 336 | 1.2023 |
| 0.9891 | 7.0 | 392 | 1.2017 |
| 0.9283 | 8.0 | 448 | 1.1988 |
| 0.8641 | 9.0 | 504 | 1.2009 |
| 0.8241 | 10.0 | 560 | 1.2025 |
| 0.8004 | 11.0 | 616 | 1.2061 |
| 0.7804 | 12.0 | 672 | 1.2096 |
| 0.7278 | 13.0 | 728 | 1.2122 |
| 0.7366 | 14.0 | 784 | 1.2182 |
| 0.6856 | 15.0 | 840 | 1.2216 |
| 0.7073 | 16.0 | 896 | 1.2238 |
| 0.6963 | 17.0 | 952 | 1.2241 |
| 0.6728 | 18.0 | 1008 | 1.2261 |
| 0.6515 | 19.0 | 1064 | 1.2272 |
| 0.6776 | 19.6486 | 1100 | 1.2274 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 2.14.4
- Tokenizers 0.21.1