---
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
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# 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: 2.4454

## 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: 6
- 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.6943        | 1.0   | 1246 | 2.5155          |
| 2.62          | 2.0   | 2492 | 2.4769          |
| 2.5851        | 3.0   | 3738 | 2.4575          |
| 2.5692        | 4.0   | 4984 | 2.4492          |
| 2.5485        | 5.0   | 6230 | 2.4454          |


### Framework versions

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