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RichardErkhov/tcapelle_-_toxicity-scorer-smollm2-135m-it-freeze-gguf

sourceHugging Faceupdated 2y agoView on Hugging Face
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Quantization made by Richard Erkhov.

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toxicity-scorer-smollm2-135m-it-freeze - GGUF

  • —Model creator: https://huggingface.co/tcapelle/
  • —Original model: https://huggingface.co/tcapelle/toxicity-scorer-smollm2-135m-it-freeze/

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

  • —generatedfromtrainer model-index:
  • —name: toxicity-scorer-smollm2-135m-it-freeze results: [] ---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

toxicity-scorer-smollm2-135m-it-freeze

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: 3.7842

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: 3

Training results

Training LossEpochStepValidation Loss
No log003.8389
3.81721.0633.8037
3.79572.01263.7857
3.71373.01893.7842

Framework versions

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