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checkpoint-v1 – AI Model by RyotaKadoya1993 | AlphaNeural AI

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RyotaKadoya1993/
checkpoint-v1

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RyotaKadoya1993/Llama-3-JPN-MoE2

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checkpoint-v1

This model is a fine-tuned version of RyotaKadoya1993/Llama-3-JPN-MoE2 on an unknown 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-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 2000

Training results

Framework versions

PEFT 0.10.0
Transformers 4.40.1
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1