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reflexx-70b-v1 – AI Model by ReflexxIA | AlphaNeural AI
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ReflexxIA
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reflexx-70b-v1
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peft
safetensors
trl
sft
generated_from_trainer
meta-llama/Llama-3.1-70B-Instruct
adapter
llama3.1
us
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reflexx-70b-v1
This model is a fine-tuned version of
meta-llama/Llama-3.1-70B-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: 0.0001
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT 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: 0.03
num_epochs: 2
Training results
Framework versions
PEFT 0.13.2
Transformers 4.46.0
Pytorch 2.4.1+cu124
Datasets 3.0.2
Tokenizers 0.20.3
