| license: apache-2.0 | |
| base_model: jaigouk/go-bruins-bf16-ruby | |
| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: go-bruins-ruby-bf16 | |
| results: [] | |
| language: | |
| - en | |
| # go-bruins-ruby-bf16 | |
| This model is a fine-tuned version of [rwitz/go-bruins](https://huggingface.co/rwitz/go-bruins) 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 | |
| ## Training and evaluation data | |
| - https://huggingface.co/datasets/jaigouk/coding-dataset | |
| ### 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 | |