results
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: 7.1958
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: 1024
- eval_batch_size: 512
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
No log | 1.0 | 1 | 7.3299 |
No log | 2.0 | 2 | 7.3299 |
No log | 3.0 | 3 | 7.2664 |
No log | 4.0 | 4 | 7.2299 |
No log | 5.0 | 5 | 7.1992 |
No log | 6.0 | 6 | 7.1871 |
No log | 7.0 | 7 | 7.1885 |
No log | 8.0 | 8 | 7.1922 |
No log | 9.0 | 9 | 7.1944 |
7.3798 | 10.0 | 10 | 7.1958 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1
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facebook/nllb-200-distilled-600M