|
--- |
|
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: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# nllb-200-distilled-600M-finetuned-py2cpp |
|
|
|
This model is a fine-tuned version of [facebook/nllb-200-distilled-600M](https://huggingface.co/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 |
|
|
