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trained_weigths – AI Model by ANSHG | AlphaNeural AI

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ANSHG/
trained_weigths

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generated_from_trainer

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

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trained_weigths

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

Training results

Framework versions

PEFT 0.13.2
Transformers 4.45.2
Pytorch 2.4.0
Datasets 3.0.2
Tokenizers 0.20.0