jaigouk/trained-una-cybertron-7b-v2-bf16

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trained-una-cybertron-7b-v2-bf16

This model is a fine-tuned version of fblgit/una-cybertron-7b-v2-bf16 on an https://huggingface.co/datasets/Nan-Do/instructional_code-search-net-ruby.

It achieves the following results on the evaluation set:

• —Loss: 1.0274

Model description

• —intention is to use this with system message for generating ruby codes

Intended uses & limitations

• —writing rspec / ruby codes

Training and evaluation data

• —https://huggingface.co/datasets/Nan-Do/instructional_code-search-net-ruby
• —https://huggingface.co/datasets/Nan-Do/instructional_code-search-net-ruby

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 2e-05
• —trainbatchsize: 16
• —evalbatchsize: 16
• —seed: 42
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 64
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: constant
• —lrschedulerwarmup_steps: 1
• —num_epochs: 1

Training results

Framework versions

• —Transformers 4.35.0
• —Pytorch 2.1.0+cu118
• —Datasets 2.15.0
• —Tokenizers 0.14.1