---
license: mit
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: Aravindan/gpt2out
datasets:
- generator
model-index:
- name: gpt2coder-instruct
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# gpt2coder-instruct

This model is a fine-tuned version of [Aravindan/gpt2out](https://huggingface.co/Aravindan/gpt2out) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2879

## 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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 10
- total_train_batch_size: 80
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- training_steps: 100
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 2.624         | 0.0147 | 30   | 2.4234          |
| 2.5018        | 0.0294 | 60   | 2.3461          |
| 2.4781        | 0.0441 | 90   | 2.2879          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1