---
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: results
  results: []
language:
- en
metrics:
- accuracy
---

<!-- 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. -->

# Results

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the Kubernetes dataset, which is updated in the same hub!

## Model description

This model can be used to generate texts related to Kubernetes. 
This would be the first model towards interests in IBN.

## Intended uses & limitations

It can be used for the text generation.

## Training and evaluation data

This model contains only the training data and no evaluation data.

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

Training Loss:
TrainOutput(global_step=3, training_loss=3.4602108001708984, metrics={'train_runtime': 83.5107, 'train_samples_per_second': 0.036, 'train_steps_per_second': 0.036, 'total_flos': 1567752192000.0, 'train_loss': 3.4602108001708984, 'epoch': 3.0})

### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1