---
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: gpt2-XYZCompany-1000-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-1000-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: 0.3082

## 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: 1000

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.4688        | 0.32  | 50   | 0.4117          |
| 0.4546        | 0.63  | 100  | 0.3712          |
| 0.3868        | 0.95  | 150  | 0.3539          |
| 0.369         | 1.27  | 200  | 0.3427          |
| 0.3572        | 1.58  | 250  | 0.3357          |
| 0.344         | 1.9   | 300  | 0.3301          |
| 0.343         | 2.22  | 350  | 0.3258          |
| 0.348         | 2.53  | 400  | 0.3227          |
| 0.3431        | 2.85  | 450  | 0.3194          |
| 0.2994        | 3.16  | 500  | 0.3169          |
| 0.3348        | 3.48  | 550  | 0.3155          |
| 0.3177        | 3.8   | 600  | 0.3134          |
| 0.32          | 4.11  | 650  | 0.3125          |
| 0.318         | 4.43  | 700  | 0.3111          |
| 0.3448        | 4.75  | 750  | 0.3102          |
| 0.2903        | 5.06  | 800  | 0.3094          |
| 0.3078        | 5.38  | 850  | 0.3088          |
| 0.2993        | 5.7   | 900  | 0.3085          |
| 0.3132        | 6.01  | 950  | 0.3083          |
| 0.3262        | 6.33  | 1000 | 0.3082          |


### Framework versions

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