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reflexx-8b-v1 – AI Model by ReflexxIA | AlphaNeural AI

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meta-llama/Llama-3.1-8B-Instruct

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reflexx-8b-v1

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: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
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