amazingvince/jina_embeddings_v2_base_code_multi_regression-simple

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jinaembeddingsv2basecodemultiregression-simple

This model is a fine-tuned version of jinaai/jina-embeddings-v2-base-code on the amazingvince/the-stack-smol-xs-scored-and-annotated-all dataset. It achieves the following results on the evaluation set:

• —Loss: 0.6115
• —Mse: 0.6115

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: 1e-05
• —trainbatchsize: 2
• —evalbatchsize: 2
• —seed: 90085
• —distributed_type: multi-GPU
• —gradientaccumulationsteps: 32
• —totaltrainbatch_size: 64
• —optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-09
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.05
• —num_epochs: 3.0

Training results

Framework versions

• —Transformers 4.42.4
• —Pytorch 2.1.1+cu121
• —Datasets 2.20.0
• —Tokenizers 0.19.1