nllb-3.3b-salt-lr2e-4-audersity
This model is a fine-tuned version of jq/nllb-3.3b-salt-lr2e-4-fp16 on an unknown dataset.
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: 0.0002
- train_batch_size: 10
- eval_batch_size: 10
- seed: 42
- gradient_accumulation_steps: 300
- total_train_batch_size: 3000
- optimizer: Use OptimizerNames.ADAFACTOR and the args are: No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 3
Training results
Framework versions
- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.2
- Downloads last month
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Model tree for kitaka/nllb-3.3b-salt-lr2e-4-audersity
Base model
jq/nllb-3.3b-salt-lr2e-4-fp16