---
library_name: transformers
license: other
base_model: codellama/CodeLlama-7b-Instruct-hf
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: final_sft_CodeLlama-7b-Instruct-hf
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# final_sft_CodeLlama-7b-Instruct-hf

This model is a fine-tuned version of [codellama/CodeLlama-7b-Instruct-hf](https://huggingface.co/codellama/CodeLlama-7b-Instruct-hf) on the efficoder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3331

## Model description

train on EFFIINSTRUCT_python 

## Intended uses & limitations

generate effective code

## Training and evaluation data

train on EFFIINSTRUCT_python 

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-06
- train_batch_size: 8
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- total_eval_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 4.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.2475        | 0.3401 | 50   | 0.2433          |
| 0.2425        | 0.6803 | 100  | 0.2314          |
| 0.2147        | 1.0204 | 150  | 0.2318          |
| 0.1702        | 1.3605 | 200  | 0.2378          |
| 0.1758        | 1.7007 | 250  | 0.2396          |
| 0.1438        | 2.0408 | 300  | 0.2643          |
| 0.0989        | 2.3810 | 350  | 0.2823          |
| 0.0991        | 2.7211 | 400  | 0.2799          |
| 0.065         | 3.0612 | 450  | 0.3123          |
| 0.0601        | 3.4014 | 500  | 0.3348          |
| 0.0645        | 3.7415 | 550  | 0.3324          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.2.2+cu121
- Datasets 4.8.4
- Tokenizers 0.19.1