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llama-3-8b-instruct-dpo-iter2 – AI Model by jcmei | AlphaNeural AI

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jcmei/
llama-3-8b-instruct-dpo-iter2

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alignment-handbook

generated_from_trainer

synthetic_data_llama-3-8b-instruct-dpo-iter2_score

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mistral-7b-instruct-sppo-iter1

This model is a fine-tuned version of checkpoints/Llama-3-8B-Instruct-DPO-Iter1 on the synthetic_data_llama-3-8b-instruct-dpo-iter2_score 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: 1
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
num_devices: 16
gradient_accumulation_steps: 4
total_train_batch_size: 64
total_eval_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1.0

Training results

Framework versions

Transformers 4.42.4
Pytorch 2.4.0+cu121
Datasets 2.14.6
Tokenizers 0.19.1