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: 0.7738
- Bleu: 67.4647
- Gen Len: 75.9455
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 67 | 2.6896 | 29.0389 | 96.5455 |
| No log | 2.0 | 134 | 1.6534 | 30.4693 | 96.6727 |
| No log | 3.0 | 201 | 1.2046 | 55.0467 | 76.7455 |
| No log | 4.0 | 268 | 1.0048 | 59.5519 | 76.9091 |
| No log | 5.0 | 335 | 0.9176 | 64.2229 | 75.5455 |
| No log | 6.0 | 402 | 0.8610 | 65.8311 | 73.6909 |
| No log | 7.0 | 469 | 0.8160 | 65.5771 | 76.4727 |
| 1.5731 | 8.0 | 536 | 0.7968 | 67.9558 | 74.7636 |
| 1.5731 | 9.0 | 603 | 0.7794 | 67.5994 | 75.8 |
| 1.5731 | 10.0 | 670 | 0.7738 | 67.4647 | 75.9455 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.13.3