jaigouk/tachikoma-v0-function-calling-v1

tachikoma-v1

This model is a fine-tuned version of jaigouk/tachikoma-v1 on an unknown dataset.

Model description

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

Intended uses & limitations

• writing rspec / ruby codes
• https://ollama.ai/jaigouk/tachikoma

Training and evaluation data

• https://huggingface.co/datasets/jaigouk/coding-dataset
• 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
• 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

Framework versions

• Transformers 4.35.0
• Pytorch 2.1.0+cu118
• Datasets 2.14.5
• Tokenizers 0.14.1