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my-moe-model – AI Model by Super-Mario | AlphaNeural AI
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my-moe-model
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transformers
pytorch
tensorboard
safetensors
bart
text2text-generation
generated_from_trainer
endpoints_compatible
us
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my-moe-model
This model is a fine-tuned version of
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: 5e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 8
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
num_epochs: 1.0
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.56.2
Pytorch 2.6.0+cu124
Datasets 4.3.0
Tokenizers 0.22.1
