---
license: mit
base_model: vicgalle/gpt2-open-instruct-v1
tags:
- generated_from_trainer
datasets:
- gsm8k
model-index:
- name: gpt2-open-instruct-v1-gsm8k
  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. -->

# gpt2-open-instruct-v1-gsm8k

This model is a fine-tuned version of [vicgalle/gpt2-open-instruct-v1](https://huggingface.co/vicgalle/gpt2-open-instruct-v1) on the gsm8k dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3966

## 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: 0.0005
- train_batch_size: 16
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 468  | 2.5579          |
| 2.859         | 2.0   | 936  | 2.5018          |
| 2.6455        | 3.0   | 1404 | 2.4752          |
| 2.6025        | 4.0   | 1872 | 2.4590          |
| 2.5777        | 5.0   | 2340 | 2.4473          |
| 2.5557        | 6.0   | 2808 | 2.4388          |
| 2.538         | 7.0   | 3276 | 2.4309          |
| 2.5246        | 8.0   | 3744 | 2.4236          |
| 2.514         | 9.0   | 4212 | 2.4186          |
| 2.5059        | 10.0  | 4680 | 2.4159          |
| 2.4944        | 11.0  | 5148 | 2.4107          |
| 2.4874        | 12.0  | 5616 | 2.4078          |
| 2.4862        | 13.0  | 6084 | 2.4053          |
| 2.475         | 14.0  | 6552 | 2.4027          |
| 2.4716        | 15.0  | 7020 | 2.4008          |
| 2.4716        | 16.0  | 7488 | 2.3995          |
| 2.4704        | 17.0  | 7956 | 2.3985          |
| 2.4648        | 18.0  | 8424 | 2.3973          |
| 2.4634        | 19.0  | 8892 | 2.3968          |
| 2.459         | 20.0  | 9360 | 2.3966          |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3