RichardErkhov/dannoncaffeine_-_GPT2-124M-wikitext-v0.1-gguf

Quantization made by Richard Erkhov.

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GPT2-124M-wikitext-v0.1 - GGUF

• —Model creator: https://huggingface.co/dannoncaffeine/
• —Original model: https://huggingface.co/dannoncaffeine/GPT2-124M-wikitext-v0.1/

Original model description: --- license: mit base_model: gpt2 tags:

• —generatedfromtrainer model-index:
• —name: GPT2-124M-wikitext-v0.1 results: [] datasets:
• —wikitext pipelinetag: text-generation co2eqemissions: emissions: 500 trainingtype: "fine-tuning" source: "mlco2" geographicallocation: "Bucharest, Romania" hardwareused: "1 x RTX 4090 GPU" ---

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🧠 GPT2-124M-wikitext-v0.1

This model is a fine-tuned version of gpt2 on the wikitext. It achieves the following results on the evaluation set:

• —Loss: 2.9841

Model description

This is a practical hands-on experience for better understanding 🤗 Transformers and 🤗 Datasets. This model is GPT2(124M) fine-tuned on wikitext(103-raw-v1) on 1 x RTX 4090.

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 4.35.2
• —Pytorch 2.1.0+cu118
• —Datasets 2.15.0
• —Tokenizers 0.15.0