QuantFactory/distilgpt2-finetuned-python_code_instructions_18k_alpaca-GGUF

license: apache-2.0 base_model: distilgpt2 tags:

• —generatedfromtrainer model-index:
• —name: distilgpt2-finetuned-pythoncodeinstructions18kalpaca results: [] datasets:
• —iamtarun/pythoncodeinstructions18kalpaca language:
• —en metrics:
• —accuracy libraryname: transformers pipelinetag: text-generation


QuantFactory/distilgpt2-finetuned-pythoncodeinstructions18kalpaca-GGUF

This is quantized version of Vishaltiwari2019/distilgpt2-finetuned-python_code_instructions_18k_alpaca created using llama.cpp

Original Model Card

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distilgpt2-finetuned-pythoncodeinstructions18kalpaca

This model is a fine-tuned version of distilgpt2 on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 1.5063

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: 8
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 3

Training results

Framework versions

• —Transformers 4.39.3
• —Pytorch 2.2.1+cu121
• —Datasets 2.18.0
• —Tokenizers 0.15.2