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ARR_qwen_gsm8k – AI Model by ketchup123 | AlphaNeural AI

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ketchup123/
ARR_qwen_gsm8k

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Qwen/Qwen2.5-7B-Instruct

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gsm8k

This model is a fine-tuned version of Qwen/Qwen2.5-7B-Instruct on the gsm8k 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: 0.0001
train_batch_size: 4
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 32
total_eval_batch_size: 64
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 64
num_epochs: 6.0

Training results

Framework versions

PEFT 0.12.0
Transformers 4.46.1
Pytorch 2.4.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3