---
license: llama2
base_model: codellama/CodeLlama-13b-Instruct-hf
tags:
- generated_from_trainer
model-index:
- name: stg-cli13b-t6.mt.him.cln.inter-b4s1e1-20231212-0801
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# stg-cli13b-t6.mt.him.cln.inter-b4s1e1-20231212-0801

This model is a fine-tuned version of [codellama/CodeLlama-13b-Instruct-hf](https://huggingface.co/codellama/CodeLlama-13b-Instruct-hf) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0546

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.367         | 0.03  | 100  | 0.0896          |
| 0.0809        | 0.07  | 200  | 0.0730          |
| 0.0721        | 0.1   | 300  | 0.0687          |
| 0.065         | 0.13  | 400  | 0.0632          |
| 0.0629        | 0.17  | 500  | 0.0636          |
| 0.0618        | 0.2   | 600  | 0.0608          |
| 0.0606        | 0.23  | 700  | 0.0615          |
| 0.0604        | 0.27  | 800  | 0.0599          |
| 0.0598        | 0.3   | 900  | 0.0601          |
| 0.0599        | 0.33  | 1000 | 0.0598          |
| 0.0613        | 0.37  | 1100 | 0.0598          |
| 0.0597        | 0.4   | 1200 | 0.0590          |
| 0.06          | 0.43  | 1300 | 0.0589          |
| 0.058         | 0.47  | 1400 | 0.0589          |
| 0.058         | 0.5   | 1500 | 0.0575          |
| 0.0578        | 0.53  | 1600 | 0.0576          |
| 0.0569        | 0.57  | 1700 | 0.0566          |
| 0.0573        | 0.6   | 1800 | 0.0574          |
| 0.0577        | 0.63  | 1900 | 0.0567          |
| 0.0574        | 0.67  | 2000 | 0.0561          |
| 0.0566        | 0.7   | 2100 | 0.0559          |
| 0.056         | 0.74  | 2200 | 0.0562          |
| 0.0563        | 0.77  | 2300 | 0.0556          |
| 0.0551        | 0.8   | 2400 | 0.0553          |
| 0.0554        | 0.84  | 2500 | 0.0551          |
| 0.0553        | 0.87  | 2600 | 0.0550          |
| 0.0548        | 0.9   | 2700 | 0.0547          |
| 0.0547        | 0.94  | 2800 | 0.0546          |
| 0.0547        | 0.97  | 2900 | 0.0546          |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0