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NLLB_Egyptian_Arabic_to_English2ndtrial
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:
- eval_loss: 1.5447
- eval_bleu: 28.3607
- eval_gen_len: 19.9786
- eval_runtime: 487.6463
- eval_samples_per_second: 4.688
- eval_steps_per_second: 1.173
- epoch: 2.0
- step: 6248
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: 3e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
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