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qwen2.5-0.5b-instruct_gsm8k_full-finetuning – AI Model by axel-datos | AlphaNeural AI
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qwen2.5-0.5b-instruct_gsm8k_full-finetuning
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transformers
tensorboard
safetensors
qwen2
text-generation
generated_from_trainer
conversational
customized
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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qwen2.5-0.5b-instruct_gsm8k_full-finetuning
This model is a fine-tuned version of
Qwen/qwen2.5-0.5b-instruct
on the customized 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: 2e-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 0.01
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.46.3
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.20.3
