QWEN-2.5-0.5B-Synthia-I

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Qwen2.5-0.5B Fine-tuned on Synthia v1.5-I

This model is a fine-tuned version of Qwen/Qwen2.5-0.5B on the Synthia v1.5-I dataset, which contains over 20.7k instruction-following examples.

Model Description

Qwen2.5-0.5B is part of the latest Qwen2.5 series of large language models. The base model brings significant improvements in:

• Instruction following and generating long texts
• Understanding structured data and generating structured outputs
• Support for over 29 languages
• Long context support up to 32,768 tokens

This fine-tuned version enhances the base model's instruction-following capabilities through training on the Synthia v1.5-I dataset.

Model Architecture

• Type: Causal Language Model
• Parameters: 0.49B (0.36B non-embedding)
• Layers: 24
• Attention Heads: 14 for Q and 2 for KV (GQA)
• Context Length: 32,768 tokens
• Training Framework: Transformers 4.45.0.dev0

Intended Uses & Limitations

This model is intended for:

• Instruction following and task completion
• Text generation and completion
• Conversational AI applications

The model inherits the multilingual capabilities and long context support of the base Qwen2.5-0.5B model, while being specifically tuned for instruction following.

Training Procedure

Training Data

The model was fine-tuned on the Synthia v1.5-I dataset containing 20.7k instruction-following examples.

Training Hyperparameters

The following hyperparameters were used during training:

• Learning rate: 1e-05
• Train batch size: 5
• Eval batch size: 5
• Seed: 42
• Gradient accumulation steps: 8
• Total train batch size: 40
• Optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• LR scheduler type: cosine
• LR scheduler warmup steps: 100
• Number of epochs: 3
• Sequence length: 4096
• Sample packing: enabled

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🌐 Website

You can find more of my models, projects, and information on my official website:

• artificialguy.com

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💖 Support My Work

If you find this model useful, please consider supporting my work. It helps me cover server costs and dedicate more time to new open-source projects.

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• Pad to sequence length: enabled

Framework Versions

• Transformers 4.45.0.dev0
• Pytorch 2.3.1+cu121
• Datasets 2.21.0
• Tokenizers 0.19.1

<details><summary>See axolotl config</summary>

axolotl version: 0.4.1

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Explore More

Discover more of my models, projects, and practical AI resources:

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