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babyllama-10m-accelerated – AI Model by Jorgeis1 | AlphaNeural AI
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babyllama-10m-accelerated
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transformers
safetensors
llama
text-generation
generated_from_trainer
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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babyllama-10m-accelerated
This model was trained from scratch 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: 0.00025
train_batch_size: 64
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 5
total_train_batch_size: 320
total_eval_batch_size: 40
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_ratio: 0.05
num_epochs: 1
mixed_precision_training: Native AMP
Framework versions
Transformers 4.51.3
Pytorch 2.7.0+cu126
Datasets 3.6.0
Tokenizers 0.21.1
