---
license: llama2
base_model: codellama/CodeLlama-7b-hf
tags:
- generated_from_trainer
model-index:
- name: code-llama-sparql
  results: []
---

<!-- 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. -->

# code-llama-sparql

This model is a fine-tuned version of [codellama/CodeLlama-7b-hf](https://huggingface.co/codellama/CodeLlama-7b-hf) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1965

## 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: 0.0003
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 400
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 1.595         | 0.6452  | 20   | 1.4627          |
| 1.045         | 1.2903  | 40   | 0.8255          |
| 0.4681        | 1.9355  | 60   | 0.5047          |
| 0.4022        | 2.5806  | 80   | 0.4470          |
| 0.3568        | 3.2258  | 100  | 0.4118          |
| 0.3274        | 3.8710  | 120  | 0.3768          |
| 0.2955        | 4.5161  | 140  | 0.3576          |
| 0.2786        | 5.1613  | 160  | 0.3408          |
| 0.2778        | 5.8065  | 180  | 0.3174          |
| 0.2247        | 6.4516  | 200  | 0.2986          |
| 0.2201        | 7.0968  | 220  | 0.2766          |
| 0.2232        | 7.7419  | 240  | 0.2628          |
| 0.1917        | 8.3871  | 260  | 0.2500          |
| 0.196         | 9.0323  | 280  | 0.2391          |
| 0.1738        | 9.6774  | 300  | 0.2260          |
| 0.1612        | 10.3226 | 320  | 0.2140          |
| 0.1556        | 10.9677 | 340  | 0.2082          |
| 0.1458        | 11.6129 | 360  | 0.2033          |
| 0.142         | 12.2581 | 380  | 0.1973          |
| 0.1383        | 12.9032 | 400  | 0.1965          |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.10.1
- Tokenizers 0.19.1