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hindi-colloquial-translator – AI Model by akshitha9 | AlphaNeural AI
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hindi-colloquial-translator
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peft
safetensors
mbart
generated_from_trainer
facebook/mbart-large-50-one-to-many-mmt
adapter
us
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hindi-colloquial-translator
This model is a fine-tuned version of
facebook/mbart-large-50-one-to-many-mmt
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: 0.0003
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2
num_epochs: 3
mixed_precision_training: Native AMP
Framework versions
PEFT 0.14.0
Transformers 4.48.3
Pytorch 2.6.0+cu124
Datasets 3.3.1
Tokenizers 0.21.0
