|
--- |
|
license: cc-by-nc-4.0 |
|
base_model: facebook/nllb-200-distilled-600M |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- bleu |
|
model-index: |
|
- name: nllb-fr-dje |
|
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-fr-dje |
|
|
|
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: 1.2285 |
|
- Bleu: 29.6795 |
|
|
|
## 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: 5e-05 |
|
- train_batch_size: 8 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 8 |
|
- total_train_batch_size: 64 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 8 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Bleu | |
|
|:-------------:|:-----:|:----:|:---------------:|:-------:| |
|
| 2.8423 | 1.0 | 508 | 1.8073 | 20.0301 | |
|
| 1.7444 | 2.0 | 1017 | 1.4882 | 25.3031 | |
|
| 1.4902 | 3.0 | 1526 | 1.3685 | 27.3325 | |
|
| 1.3532 | 4.0 | 2035 | 1.3004 | 28.0924 | |
|
| 1.2749 | 5.0 | 2544 | 1.2632 | 29.0171 | |
|
| 1.2153 | 6.0 | 3053 | 1.2432 | 29.3495 | |
|
| 1.1793 | 7.0 | 3562 | 1.2323 | 29.5367 | |
|
| 1.1548 | 7.99 | 4064 | 1.2285 | 29.6795 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.35.0 |
|
- Pytorch 2.0.0 |
|
- Datasets 2.1.0 |
|
- Tokenizers 0.14.1 |
|
|
