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SONAR-Mini-Text-to-Text – AI Model by tutur90 | AlphaNeural AI

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tutur90/
SONAR-Mini-Text-to-Text

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text-generation

generated_from_trainer

endpoints_compatible

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sonar_mini

This model is a fine-tuned version of checkpoints/sonar_mini 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: 32
eval_batch_size: 512
seed: 42
distributed_type: multi-GPU
num_devices: 6
total_train_batch_size: 192
total_eval_batch_size: 3072
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: 3.0
mixed_precision_training: Native AMP

Framework versions

Transformers 4.53.2
Pytorch 2.7.1+cu126
Datasets 4.0.0
Tokenizers 0.21.4