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lora_en – AI Model by nomadrp | AlphaNeural AI
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lora_en
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transformers
safetensors
llama
text-generation
generated_from_trainer
conversational
meta-llama/Llama-3.1-8B-Instruct
finetune
llama3.1
text-generation-inference
endpoints_compatible
us
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lora_en
This model is a fine-tuned version of
meta-llama/Llama-3.1-8B-Instruct
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: 0.0002
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Use 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: 0.1
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.57.1
Pytorch 2.8.0+cu128
Datasets 3.2.0
Tokenizers 0.22.1
