---
license: llama2
base_model: codellama/CodeLlama-7b-hf
tags:
- generated_from_trainer
model-index:
- name: code-llama-sparql-lcquad-large-dbpedia
  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-lcquad-large-dbpedia

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: 0.2040

## 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 |
|:-------------:|:------:|:----:|:---------------:|
| 1.3087        | 0.0184 | 20   | 1.3391          |
| 1.0131        | 0.0368 | 40   | 0.7246          |
| 0.5023        | 0.0553 | 60   | 0.4406          |
| 0.4287        | 0.0737 | 80   | 0.3738          |
| 0.3432        | 0.0921 | 100  | 0.3530          |
| 0.2725        | 0.1105 | 120  | 0.3329          |
| 0.2539        | 0.1290 | 140  | 0.2888          |
| 0.2847        | 0.1474 | 160  | 0.2762          |
| 0.253         | 0.1658 | 180  | 0.2598          |
| 0.2168        | 0.1842 | 200  | 0.2480          |
| 0.2194        | 0.2027 | 220  | 0.2516          |
| 0.2123        | 0.2211 | 240  | 0.2300          |
| 0.2366        | 0.2395 | 260  | 0.2180          |
| 0.2129        | 0.2579 | 280  | 0.2181          |
| 0.2073        | 0.2764 | 300  | 0.2154          |
| 0.1992        | 0.2948 | 320  | 0.2086          |
| 0.2086        | 0.3132 | 340  | 0.2069          |
| 0.2237        | 0.3316 | 360  | 0.2056          |
| 0.1982        | 0.3501 | 380  | 0.2043          |
| 0.2039        | 0.3685 | 400  | 0.2040          |


### Framework versions

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