finetune-NLLB-600M-on-opus100-Ar2En-without-optimization
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: 1.2100
- Bleu: 34.6972
- Rouge: 0.6037
- Gen Len: 17.7144
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
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Rouge | Gen Len |
|---|---|---|---|---|---|---|
| 1.5487 | 1.0 | 2000 | 1.2118 | 34.2974 | 0.6072 | 17.6144 |
| 1.135 | 2.0 | 4000 | 1.2100 | 34.6972 | 0.6037 | 17.7144 |
| 0.9746 | 3.0 | 6000 | 1.2414 | 34.1024 | 0.5995 | 17.6656 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1
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Model tree for yasmineee/finetune-NLLB-600M-on-opus100-Ar2En-without-optimization
Base model
facebook/nllb-200-distilled-600M