---
license: mit
tags:
- generated_from_trainer
datasets:
- generator
model-index:
- name: cut-simple_wikipedia-seed
  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. -->

# cut-simple_wikipedia-seed

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 4.1430

## 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: 0.0005
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1000
- num_epochs: 6
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 6.2136        | 0.58  | 500  | 5.1341          |
| 4.7723        | 1.17  | 1000 | 4.6938          |
| 4.404         | 1.75  | 1500 | 4.4401          |
| 4.122         | 2.34  | 2000 | 4.3067          |
| 3.9638        | 2.92  | 2500 | 4.1848          |
| 3.7316        | 3.5   | 3000 | 4.1404          |
| 3.6343        | 4.09  | 3500 | 4.0924          |
| 3.4281        | 4.67  | 4000 | 4.0639          |
| 3.331         | 5.26  | 4500 | 4.0555          |
| 3.2306        | 5.84  | 5000 | 4.0526          |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.11.0+cu113
- Datasets 2.13.0
- Tokenizers 0.13.3