RichardErkhov/ahmedheakl_-_qwen2.5_0.5b_llamafac_130k-stack-gguf

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qwen2.50.5bllamafac_130k-stack - GGUF

• —Model creator: https://huggingface.co/ahmedheakl/
• —Original model: https://huggingface.co/ahmedheakl/qwen2.50.5bllamafac_130k-stack/

Original model description: --- libraryname: transformers license: apache-2.0 basemodel: Qwen/Qwen2.5-Coder-0.5B-Instruct tags:

• —llama-factory
• —full
• —generatedfromtrainer model-index:
• —name: qwen2.50.5bllamafac_130k-stack results: [] ---

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qwen2.50.5bllamafac_130k-stack

This model is a fine-tuned version of Qwen/Qwen2.5-Coder-0.5B-Instruct on the anghabench dataset. It achieves the following results on the evaluation set:

• —Loss: 0.0068

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: 0.0002
• —trainbatchsize: 1
• —evalbatchsize: 1
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 4
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 16
• —totalevalbatch_size: 4
• —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —num_epochs: 3.0

Training results

Framework versions

• —Transformers 4.46.1
• —Pytorch 2.5.1+cu124
• —Datasets 3.1.0
• —Tokenizers 0.20.3