RichardErkhov/tcapelle_-_dummy-gguf

Quantization made by Richard Erkhov.

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dummy - GGUF

• —Model creator: https://huggingface.co/tcapelle/
• —Original model: https://huggingface.co/tcapelle/dummy/

Original model description: --- libraryname: transformers license: apache-2.0 basemodel: HuggingFaceTB/SmolLM2-135M-Instruct tags:

• —generatedfromtrainer model-index:
• —name: dummy results: [] ---

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dummy

This model is a fine-tuned version of HuggingFaceTB/SmolLM2-135M-Instruct on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 3.8188

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: 3e-05
• —trainbatchsize: 16
• —evalbatchsize: 16
• —seed: 42
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 1

Training results

Framework versions

• —Transformers 4.46.3
• —Pytorch 2.5.1+cu124
• —Datasets 3.1.0
• —Tokenizers 0.20.3