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caldpo-caldpo-3b – AI Model by jasonhuang3 | AlphaNeural AI

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jasonhuang3/
caldpo-caldpo-3b

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alignment_handbook-handbook

generated_from_trainer

HuggingFaceH4/ultrafeedback_binarized

ministral/Ministral-3b-instruct

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ministral-Ministral-3b-instruct-caldpo

This model is a fine-tuned version of ministral/Ministral-3b-instruct on the HuggingFaceH4/ultrafeedback_binarized 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: 8
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 2
total_train_batch_size: 32
total_eval_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

Transformers 4.40.2
Pytorch 2.1.2
Datasets 2.14.6
Tokenizers 0.19.1