metadata
license: cc-by-nc-4.0
base_model: facebook/nllb-200-distilled-600M
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: nllb-200-distilled-600M-finetuned-py2cpp
results: []
nllb-200-distilled-600M-finetuned-py2cpp
This model is a fine-tuned version of facebook/nllb-200-distilled-600M on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2267
- Bleu: 55.4437
- Gen Len: 74.5273
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: 0.0001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 67 | 2.7602 | 30.0843 | 94.7818 |
| No log | 2.0 | 134 | 1.8176 | 11.874 | 139.8182 |
| No log | 3.0 | 201 | 1.4276 | 43.5045 | 85.8182 |
| No log | 4.0 | 268 | 1.2682 | 54.7173 | 72.7273 |
| No log | 5.0 | 335 | 1.2267 | 55.4437 | 74.5273 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.13.3