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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

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 2e-05
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: constant
  • lr_scheduler_warmup_steps: 1
  • num_epochs: 1

Training results

Training Loss Epoch Step Validation Loss
1.0859 0.39 50 1.0936
1.036 0.78 100 1.0274

Framework versions

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