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V2_MBARt50_RAG_finetuned – AI Model by ibokajordan | AlphaNeural AI
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V2_MBARt50_RAG_finetuned
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transformers
safetensors
mbart
text2text-generation
generated_from_trainer
facebook/mbart-large-50-many-to-many-mmt
finetune
endpoints_compatible
us
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V2_MBARt50_RAG_finetuned
This model is a fine-tuned version of
facebook/mbart-large-50-many-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: 2e-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
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
lr_scheduler_warmup_ratio: 0.03
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.57.3
Pytorch 2.9.0+cu126
Datasets 4.4.1
Tokenizers 0.22.1
