This model is a fine-tuned version of meta-llama/Llama-3.2-3B-Instruct on the None dataset. It achieves the following results on the evaluation set: - Info Ndcg@p8: 0.9770 The following hyperparameters were used during training: - learningrate: 5e-05 - trainbatchsize: 1 - evalbatchsize: 1 - gradientaccumulationsteps: 16 - totaltrainbatchsize: 16 - lrschedulertype: constant - lrschedulerwarmupsteps: 0.03 - numepochs: 4.0 - PEFT 0.19.1 - Transformers 5.7.0 - Pytorch 2.11.0+cu130 - Datasets 4.8.5 - Tokenizers 0.22.2
Independent publisher
Darya Zare
daryaZare
NLP, LLMs
Models in Library2
Datasets in Library0
Models on Hugging Face16
Followers3
Compare the published evidence
This profile connects the 2 model and dataset records shown below to their upstream cards and sources. The library counts describe SAVRN's coverage, rather than this publisher's entire output.
Published tasks: Text generation.
Reported licenses: llama3.2. Open a record to review its specific license and conditions.
Compare model specifications, source dates, and hardware estimates on the individual records. Publisher identity verification is separate from a model's quality, deployment readiness, or suitability for your work.