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checkpoints – AI Model by cosmicshubham | AlphaNeural AI | AlphaNeural AI
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checkpoints
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transformers
safetensors
m2m_100
text2text-generation
generated_from_trainer
facebook/nllb-200-distilled-600M
finetune
cc-by-nc-4.0
endpoints_compatible
us
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checkpoints
This model is a fine-tuned version of
facebook/nllb-200-distilled-600M
on the None 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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP
Framework versions
Transformers 4.56.2
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1
