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
Inference Providers
NEW
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The model has no library tag.
Model tree for jaigouk/tachikoma-v0-function-calling-v1
Base model
jaigouk/tachikoma-v0