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mbart-oscar-hindi-gen – AI Model by guldasta | AlphaNeural AI
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mbart-oscar-hindi-gen
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transformers
tensorboard
safetensors
mbart
text2text-generation
generated_from_trainer
oscar
facebook/mbart-large-50-many-to-many-mmt
finetune
endpoints_compatible
us
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mbart oscar-hindi text generator
This model is a fine-tuned version of
facebook/mbart-large-50-many-to-many-mmt
on the oscar dataset. It achieves the following results on the evaluation set:
Loss: 3.8315
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 adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3.0
Training results
Framework versions
Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0
