---
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: GPT2-arithmetic-1-3digits
  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-arithmetic-1-3digits

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: nan

## 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: 7
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.1482        | 0.9984 | 156  | nan             |
| 0.0902        | 1.9968 | 312  | nan             |
| 0.0804        | 2.9952 | 468  | nan             |
| 0.0789        | 4.0    | 625  | nan             |
| 0.0798        | 4.9984 | 781  | nan             |
| 0.0776        | 5.9968 | 937  | nan             |
| 0.0773        | 6.9888 | 1092 | nan             |


### Framework versions

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