---
tags:
- generated_from_trainer
model-index:
- name: gpt2-reporter
  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-reporter

This model is a fine-tuned version of [theta/gpt2-reporter](https://huggingface.co/theta/gpt2-reporter) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4221

## 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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.3859        | 0.04  | 400  | 2.4603          |
| 2.3069        | 0.08  | 800  | 2.4777          |
| 2.3114        | 0.13  | 1200 | 2.4806          |
| 2.3152        | 0.17  | 1600 | 2.4774          |
| 2.3362        | 0.21  | 2000 | 2.4760          |
| 2.3354        | 0.25  | 2400 | 2.4728          |
| 2.344         | 0.3   | 2800 | 2.4685          |
| 2.366         | 0.34  | 3200 | 2.4632          |
| 2.3632        | 0.38  | 3600 | 2.4636          |
| 2.3704        | 0.42  | 4000 | 2.4602          |
| 2.3791        | 0.47  | 4400 | 2.4552          |
| 2.3773        | 0.51  | 4800 | 2.4529          |
| 2.391         | 0.55  | 5200 | 2.4475          |
| 2.4486        | 0.59  | 5600 | 2.4379          |
| 2.468         | 0.64  | 6000 | 2.4346          |
| 2.4602        | 0.68  | 6400 | 2.4323          |
| 2.4643        | 0.72  | 6800 | 2.4301          |
| 2.4634        | 0.76  | 7200 | 2.4289          |
| 2.4632        | 0.81  | 7600 | 2.4266          |
| 2.4534        | 0.85  | 8000 | 2.4250          |
| 2.4528        | 0.89  | 8400 | 2.4238          |
| 2.4618        | 0.93  | 8800 | 2.4222          |
| 2.4519        | 0.98  | 9200 | 2.4221          |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Tokenizers 0.13.2