---
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: GPT2-arithmetic-3digits
  results: []
datasets:
- Nbeau/additiondataset_3digits_10000examples
widget:
- text: "Input:\n561+372\nTarget:"
inference:
  parameters:
    add_special_tokens: True
    do_sample: False
---

<!-- 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-arithmetic-3digits

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0721

## 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: 0.0003
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- num_epochs: 6
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.116         | 1.0   | 125  | 0.1085          |
| 0.0825        | 2.0   | 250  | 0.0801          |
| 0.0745        | 3.0   | 375  | 0.0740          |
| 0.0733        | 4.0   | 500  | 0.0724          |
| 0.7246        | 5.0   | 625  | 0.1426          |
| 0.0726        | 6.0   | 750  | 0.0721          |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.3.0
- Datasets 2.19.1
- Tokenizers 0.19.1