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README.md
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model-index:
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- name: results
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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#
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on
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## Model description
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## Intended uses & limitations
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## Training and evaluation data
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## Training procedure
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### Training results
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### Framework versions
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- Transformers 4.41.2
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- Pytorch 2.3.0+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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model-index:
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- name: results
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results: []
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language:
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- en
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metrics:
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- accuracy
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# Results
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the Kubernetes dataset, which is updated in the same hub!
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## Model description
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This model can be used to generate texts related to Kubernetes.
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This would be the first model towards interests in IBN.
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## Intended uses & limitations
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It can be used for the text generation.
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## Training and evaluation data
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This model contains only the training data and no evaluation data.
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## Training procedure
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### Training results
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Training Loss:
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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})
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### Framework versions
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- Transformers 4.41.2
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- Pytorch 2.3.0+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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