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test_dpo – AI Model by stojchet | AlphaNeural AI

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stojchet/
test_dpo

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deepseek-ai/deepseek-coder-1.3b-base

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test_dpo

This model is a fine-tuned version of deepseek-ai/deepseek-coder-1.3b-base 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: 0.001
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 64
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0

Training results

Framework versions

PEFT 0.10.0
Transformers 4.42.0.dev0
Pytorch 2.2.2+cu121
Datasets 2.19.2
Tokenizers 0.19.1