feat: anonymised telemetry to track usage patterns #131
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lucapericlp
reviewed
Apr 16, 2024
| properties = { | ||
| **config, | ||
| **model_args, | ||
| "train": str(train), |
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It'd also be interesting to know:
- How much data (minutes ideal, row count ok) in datasets
- What % of the network is being finetuned - we're already somewhat tracking this via
last_n_blocks_to_finetunebeing captured but wouldn't cover any custom logic changes - a quick sum of trainable params before finetuning starts vs their config settings would let us observe that custom network changes were made (interesting data point). - Hardware being used
lucapericlp
previously approved these changes
Apr 16, 2024
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