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c202300
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Update README.md
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README.md
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---
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license: gpl-2.0
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---
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Got bored so used [nanoGPT](https://github.com/karpathy/nanoGPT) to train model on all Python snippets from https://www.kaggle.com/datasets/simiotic/github-code-snippets
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gradient_accumulation_steps = 64
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```
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This was because I was training it locally on RTX2060 and did not have enough power to train it more.
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Current model was trained for 8880 iterations.
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At first I made it only save model after validation loss improved, to not allow overfitting, but after some time I decided to risk it and turned that off and allowed it to save everytime, luckly it worked out fine.
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---
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license: gpl-2.0
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pipeline_tag: text-generation
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---
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Got bored so used [nanoGPT](https://github.com/karpathy/nanoGPT) to train model on all Python snippets from https://www.kaggle.com/datasets/simiotic/github-code-snippets
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gradient_accumulation_steps = 64
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```
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This was because I was training it locally on RTX2060 and did not have enough power to train it more.
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Current model was trained for 8880 iterations. Took around 20 hours.
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At first I made it only save model after validation loss improved, to not allow overfitting, but after some time I decided to risk it and turned that off and allowed it to save everytime, luckly it worked out fine.
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