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update model card README.md
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README.md
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---
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license: apache-2.0
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base_model: distilgpt2
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tags:
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- generated_from_trainer
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model-index:
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- name: kgpt2
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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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# kgpt2
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This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.7114
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 2.2631 | 1.0 | 8 | 2.1033 |
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| 2.1285 | 2.0 | 16 | 1.9838 |
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| 2.0715 | 3.0 | 24 | 1.9079 |
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| 2.0995 | 4.0 | 32 | 1.8528 |
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| 2.0271 | 5.0 | 40 | 1.8074 |
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| 1.9592 | 6.0 | 48 | 1.7816 |
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| 1.9125 | 7.0 | 56 | 1.7446 |
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| 1.9205 | 8.0 | 64 | 1.7277 |
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| 1.8993 | 9.0 | 72 | 1.7178 |
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| 1.8994 | 10.0 | 80 | 1.7114 |
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### Framework versions
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- Transformers 4.31.0
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.4
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- Tokenizers 0.13.3
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