---
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: gpt2-XYZCompany-500-steps
  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-XYZCompany-500-steps

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: 0.3300

## 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: 1e-05
- train_batch_size: 8
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1
- training_steps: 500

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.471         | 0.32  | 50   | 0.4135          |
| 0.4572        | 0.63  | 100  | 0.3736          |
| 0.3903        | 0.95  | 150  | 0.3574          |
| 0.3748        | 1.27  | 200  | 0.3474          |
| 0.3639        | 1.58  | 250  | 0.3413          |
| 0.3515        | 1.9   | 300  | 0.3366          |
| 0.3539        | 2.22  | 350  | 0.3337          |
| 0.3604        | 2.53  | 400  | 0.3319          |
| 0.3579        | 2.85  | 450  | 0.3305          |
| 0.3176        | 3.16  | 500  | 0.3300          |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.1.2
- Datasets 2.17.1
- Tokenizers 0.13.2