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Llama-3-8B-Instruct-spider-4 – AI Model by Hexamind | AlphaNeural AI

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Hexamind/
Llama-3-8B-Instruct-spider-4

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meta-llama/Meta-Llama-3-8B-Instruct

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Llama-3-8B-Instruct-spider-4

This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the generator 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: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 2
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 4

Training results

Framework versions

PEFT 0.10.0
Transformers 4.40.1
Pytorch 2.3.1+cu121
Datasets 2.16.1
Tokenizers 0.19.1