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pixalium-20M-pretrained – AI Model by LouLou1Demon | AlphaNeural AI | AlphaNeural AI
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pixalium-20M-pretrained
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transformers
safetensors
llama
text-generation
generated_from_trainer
text-generation-inference
endpoints_compatible
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pixalium-20M-pretrained
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: 0.001
train_batch_size: 64
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 128
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_steps: 1500
training_steps: 50000
mixed_precision_training: Native AMP
Framework versions
Transformers 5.15.0
Pytorch 2.11.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
