---
base_model: Deci/DeciLM-7B
datasets:
- generator
library_name: peft
license: apache-2.0
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: deci7bit-lora-sql
  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. -->

# deci7bit-lora-sql

This model is a fine-tuned version of [Deci/DeciLM-7B](https://huggingface.co/Deci/DeciLM-7B) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3613

## 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: 1399
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- training_steps: 500

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.7762        | 0.0565 | 20   | 0.5080          |
| 0.4829        | 0.1129 | 40   | 0.4278          |
| 0.4283        | 0.1694 | 60   | 0.4019          |
| 0.4102        | 0.2258 | 80   | 0.3903          |
| 0.4           | 0.2823 | 100  | 0.3856          |
| 0.3919        | 0.3387 | 120  | 0.3800          |
| 0.3876        | 0.3952 | 140  | 0.3773          |
| 0.3845        | 0.4517 | 160  | 0.3741          |
| 0.3801        | 0.5081 | 180  | 0.3665          |
| 0.3733        | 0.5646 | 200  | 0.3613          |
| 0.3697        | 0.6210 | 220  | 0.3613          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.2.2+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1