--- title: "Training a Model on Google Colab, A Survival Guide" url: https://daily.dev/posts/training-a-model-on-google-colab-a-survival-guide-yvoibwpu4 source_url: https://medium.com/@turman1701/training-a-model-on-google-colab-a-survival-guide-b70ccf5e0a81 type: article source: "Medium" published: 2026-08-05T20:04:23.714Z updated: 2026-08-05T20:05:08.547Z tags: ["machine-learning", "data-science", "deep-learning", "pytorch"] reading_time: 15 upvotes: 2 comments: 0 language: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Training a Model on Google Colab, A Survival Guide **[Medium](https://daily.dev/sources/medium_js)** · 15 min read · 2 upvotes · 0 comments ## Summary A practical guide to training ML models on Google Colab without losing progress to runtime disconnects. Covers how Colab actually works under the hood — borrowed VMs, FUSE-mounted Drive as a network filesystem, dynamic GPU quotas — and builds a resilient training workflow around these constraints. Key patterns include: always checkpoint to Drive (save locally first, then copy), extract datasets to /content before training to avoid 50,000 network round-trips per epoch, pin package versions to fight notebook rot, and use the official VS Code extension instead of banned SSH tunnels. Includes a complete runnable ResNet18 fine-tuning example that survives deliberate runtime kills and resumes cleanly from the last saved epoch. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [Using MLflow on Google Colab](https://daily.dev/posts/using-mlflow-on-google-colab-nplk7dajc) · Medium · 0 upvotes · 0 comments - [Introducing the Google Colab CLI](https://daily.dev/posts/introducing-the-google-colab-cli-25ksrxzya) · Google Developers · 7 upvotes · 0 comments --- Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#data-science](https://daily.dev/tags/data-science), [#deep-learning](https://daily.dev/tags/deep-learning), [#pytorch](https://daily.dev/tags/pytorch) [View this post on daily.dev](https://daily.dev/posts/training-a-model-on-google-colab-a-survival-guide-yvoibwpu4)