---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: m-a-p/OpenCodeInterpreter-DS-6.7B
datasets:
- generator
model-index:
- name: OpenCodeInterpreter-DS-6.7B-SQL2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# OpenCodeInterpreter-DS-6.7B-SQL2

This model is a fine-tuned version of [m-a-p/OpenCodeInterpreter-DS-6.7B](https://huggingface.co/m-a-p/OpenCodeInterpreter-DS-6.7B) on a downsampled (20,000 samples) `b-mc2/sql-create-context` dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3180

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 30
- training_steps: 1600

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.3643        | 1.44  | 200  | 0.3582          |
| 0.337         | 2.88  | 400  | 0.3357          |
| 0.3197        | 4.32  | 600  | 0.3271          |
| 0.3126        | 5.76  | 800  | 0.3222          |
| 0.3034        | 7.19  | 1000 | 0.3198          |
| 0.2998        | 8.63  | 1200 | 0.3185          |
| 0.297         | 10.07 | 1400 | 0.3180          |
| 0.2964        | 11.51 | 1600 | 0.3180          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.40.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2