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
- 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