README.md

---
license: apache-2.0
base_model: jaigouk/trained-una-cybertron-7b-v2-bf16
tags:
- generated_from_trainer
model-index:
- name: ruby-una-cybertron-7b-v2-bf16
  results: []
language:
- en
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# ruby-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).
It achieves the following results on the evaluation set:
- Loss: 0.6878

## 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 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: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.2904        | 2.53  | 100  | 0.6878          |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.14.1