metadata
license: cc-by-nc-4.0
base_model: KevinKibe/nllb-200-distilled-1.3B-finetuned-finetuned
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: nllb-200-distilled-1.3B-finetuned-finetuned-finetuned
results: []
nllb-200-distilled-1.3B-finetuned-finetuned-finetuned
This model is a fine-tuned version of KevinKibe/nllb-200-distilled-1.3B-finetuned-finetuned on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3940
- Rouge: 0.1765
- Gen Len: 13.5
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: 2e-05
- 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
- training_steps: 2000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge | Gen Len |
|---|---|---|---|---|---|
| 0.0469 | 200.0 | 200 | 0.3920 | 0.0476 | 20.0 |
| 0.0069 | 400.0 | 400 | 0.3806 | 0.1364 | 17.5 |
| 0.0034 | 600.0 | 600 | 0.3799 | 0.1364 | 17.5 |
| 0.0022 | 800.0 | 800 | 0.3908 | 0.1364 | 109.0 |
| 0.0016 | 1000.0 | 1000 | 0.3874 | 0.1765 | 13.5 |
| 0.0013 | 1200.0 | 1200 | 0.3904 | 0.1765 | 13.5 |
| 0.0011 | 1400.0 | 1400 | 0.3920 | 0.1765 | 13.5 |
| 0.001 | 1600.0 | 1600 | 0.3930 | 0.1765 | 13.5 |
| 0.0009 | 1800.0 | 1800 | 0.3939 | 0.1765 | 13.5 |
| 0.0008 | 2000.0 | 2000 | 0.3940 | 0.1765 | 13.5 |
Framework versions
- Transformers 4.39.2
- Pytorch 2.2.2+cu121
- Datasets 2.21.0
- Tokenizers 0.15.2