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tq-llama-binary-rl45-20each-ws-v2 – AI Model by nomadrp | AlphaNeural AI

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nomadrp/
tq-llama-binary-rl45-20each-ws-v2

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

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tq-llama-binary-rl45-20each-ws-v2

This model is a fine-tuned version of meta-llama/Meta-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: 5e-07
train_batch_size: 2
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Framework versions

PEFT 0.14.0
Transformers 4.45.2
Pytorch 2.5.1+cu121
Datasets 2.16.1
Tokenizers 0.20.3