RichardErkhov/axel-datos_-_qwen2.5-0.5b-instruct_MATH_full-finetuningV2-gguf

Quantization made by Richard Erkhov.

Github

Discord

Request more models

qwen2.5-0.5b-instructMATHfull-finetuningV2 - GGUF

• —Model creator: https://huggingface.co/axel-datos/
• —Original model: https://huggingface.co/axel-datos/qwen2.5-0.5b-instructMATHfull-finetuningV2/

Original model description: --- libraryname: transformers license: apache-2.0 basemodel: Qwen/qwen2.5-0.5b-instruct tags:

• —generatedfromtrainer datasets:
• —customized model-index:
• —name: '2' results: [] ---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

2

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
• —trainbatchsize: 1
• —evalbatchsize: 8
• —seed: 42
• —distributed_type: multi-GPU
• —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —num_epochs: 0.01
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.46.3
• —Pytorch 2.5.1+cu121
• —Datasets 3.2.0
• —Tokenizers 0.20.3