metadata
license: cc-by-nc-4.0
base_model: facebook/nllb-200-3.3B
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: nllb-200-3.3B-finetuned
results: []
nllb-200-3.3B-finetuned
This model is a fine-tuned version of facebook/nllb-200-3.3B on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.4525
- Rouge: 0.0357
- Gen Len: 24.5
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- training_steps: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge | Gen Len |
|---|---|---|---|---|---|
| 4.34 | 500.0 | 500 | 2.9012 | 0.05 | 26.0 |
| 0.609 | 1000.0 | 1000 | 1.1881 | 0.098 | 26.0 |
| 0.0196 | 1500.0 | 1500 | 1.5325 | 0.1493 | 30.5 |
| 0.0061 | 2000.0 | 2000 | 1.5448 | 0.125 | 33.5 |
| 0.0036 | 2500.0 | 2500 | 1.5625 | 0.125 | 33.5 |
| 0.0025 | 3000.0 | 3000 | 1.5641 | 0.125 | 33.5 |
| 0.002 | 3500.0 | 3500 | 1.5626 | 0.125 | 33.5 |
| 0.0017 | 4000.0 | 4000 | 1.4340 | 0.0357 | 24.5 |
| 0.0016 | 4500.0 | 4500 | 1.4486 | 0.0357 | 24.5 |
| 0.0016 | 5000.0 | 5000 | 1.4525 | 0.0357 | 24.5 |
Framework versions
- Transformers 4.39.2
- Pytorch 2.2.2+cu121
- Datasets 2.21.0
- Tokenizers 0.15.2