---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: ibm-granite/granite-8b-code-instruct
datasets:
- generator
model-index:
- name: granite-8b-code-instruct-spider
  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. -->

# granite-8b-code-instruct-spider

This model is a fine-tuned version of [ibm-granite/granite-8b-code-instruct](https://huggingface.co/ibm-granite/granite-8b-code-instruct) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8823

## 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: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 2
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.1877        | 0.1   | 100  | 0.6620          |
| 0.0784        | 0.2   | 200  | 0.6879          |
| 0.0552        | 0.3   | 300  | 0.7506          |
| 0.0607        | 0.4   | 400  | 0.8319          |
| 0.049         | 0.51  | 500  | 0.8430          |
| 0.0485        | 0.61  | 600  | 0.8774          |
| 0.0448        | 0.71  | 700  | 0.8839          |
| 0.0478        | 0.81  | 800  | 0.8807          |
| 0.0472        | 0.91  | 900  | 0.8823          |


### Framework versions

- PEFT 0.7.2.dev0
- Transformers 4.37.0
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.2