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nllb-200-distilled-600M-finetuned-pan_Guru-to-eng_Latn
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: 0.8728
- Bleu: 42.5453
- Gen Len: 32.376
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 1.5153 | 0.72 | 500 | 1.0531 | 34.9696 | 32.548 |
| 1.1282 | 1.45 | 1000 | 0.9580 | 38.3648 | 31.832 |
| 1.0299 | 2.18 | 1500 | 0.9235 | 40.1212 | 31.964 |
| 0.942 | 2.9 | 2000 | 0.8963 | 41.2737 | 31.884 |
| 0.8869 | 3.63 | 2500 | 0.8847 | 41.4381 | 31.82 |
| 0.8553 | 4.35 | 3000 | 0.8780 | 42.1548 | 32.136 |
| 0.8306 | 5.08 | 3500 | 0.8733 | 42.3333 | 32.64 |
| 0.8063 | 5.8 | 4000 | 0.8728 | 42.5453 | 32.376 |
Framework versions
- Transformers 4.21.2
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
