output_dir
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:
- eval_loss: 6.2019
- eval_bleu: 7.4603
- eval_gen_len: 18.29
- eval_runtime: 36.6055
- eval_samples_per_second: 2.732
- eval_steps_per_second: 2.732
- epoch: 0.04
- step: 1000
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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
Framework versions
- Transformers 4.38.2
- Pytorch 2.6.0+cu124
- Datasets 2.18.0
- Tokenizers 0.15.2
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facebook/nllb-200-distilled-600M