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Qwen2.5-3B-MP-RM

Text Classification

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text-generation-inference

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Qwen2.5-3B-MP-RM

This model is a fine-tuned version of Qwen/Qwen2.5-3B-Instruct on the iqwiki-kor/MP-86k 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: 1e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 2
total_train_batch_size: 128
total_eval_batch_size: 32
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 4.45.1
Pytorch 2.4.0
Datasets 2.21.0
Tokenizers 0.20.0

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Safetensors

Model size

3.09B params

Tensor type

BF16

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Text Classification

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Base model

Qwen/Qwen2.5-3B

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Qwen/Qwen2.5-3B-Instruct

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Evaluation results

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