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llama-3-1-sft-qlora-debug – AI Model by IeBoytsov | AlphaNeural AI

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IeBoytsov/
llama-3-1-sft-qlora-debug

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alignment-handbook

generated_from_trainer

HuggingFaceH4/ultrachat_200k

meta-llama/Llama-3.1-8B

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llama-3-1-sft-qlora-test

This model is a fine-tuned version of meta-llama/Llama-3.1-8B on the HuggingFaceH4/ultrachat_200k 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
distributed_type: multi-GPU
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1

Training results

Framework versions

PEFT 0.13.0
Transformers 4.45.1
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.20.0