metadata
license: cc-by-nc-4.0
base_model: facebook/nllb-200-distilled-600M
tags:
- generated_from_trainer
metrics:
- bleu
- rouge
model-index:
- name: NLLB-600M-FFT
results: []
NLLB-600M-FFT
This model is a fine-tuned version of facebook/nllb-200-distilled-600M on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3513
- Bleu: 35.7724
- Rouge: 0.5734
- Gen Len: 16.8375
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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Rouge | Gen Len |
|---|---|---|---|---|---|---|
| 1.9858 | 1.0 | 250 | 1.3645 | 35.126 | 0.5746 | 16.7 |
| 1.1589 | 2.0 | 500 | 1.3468 | 36.7577 | 0.5841 | 17.0312 |
| 0.9961 | 3.0 | 750 | 1.3513 | 35.7724 | 0.5734 | 16.8375 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1