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# trained-una-cybertron-7b-v2-bf16

This model is a fine-tuned version of [fblgit/una-cybertron-7b-v2-bf16](https://huggingface.co/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

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "fblgit/una-cybertron-7b-v2-bf16", "model-index": [{"name": "trained-una-cybertron-7b-v2-bf16", "results": []}]}
transformers safetensors mistral text-generation generated_from_trainer conversational base_model:fblgit/una-cybertron-7b-v2-bf16 license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us