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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 |