adityag-india/first5-mlp-layers-batchsize-8
AI model by adityag-india
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This is a new small-data experiment named phase2mini150first5mlpseed1234. It trains only MLP modules in Qwen3.5-0.8B layers 0–4. It selects exactly 100 train, 20 validation, and 30 test records (150 distinct records total) from the saved index lists of the historical first-five run. The last-five mini150 package contains the identical index file and runner; its layer selection and run name are the only configuration differences. The recorded first-five settings are retained: English Medical O1 Reasoning SFT data, reasoning plus response target, 1,536-token maximum, 10 epochs, learning rate 1e-5, cosine schedule with 3% warmup, batch size 2, gradient accumulation 8, BF16, zero weight decay/dropout, no gradient checkpointing, and no early stopping. Evaluation is configured every 200 optimizer steps and at each epoch end. With 100 training examples there are approximately 7 optimizer steps per epoch, so the 200-step trigger will not occur; baseline and epoch-end validation still run. Use a PyTorch CUDA…
Read the full model card ↗ · Preview checked 2026-10-31T00:11:05.009Z
Inside the original model card — Document outline
- Phase 2 mini150: first five Qwen MLP layers
- THIS IS REPO WHERE REST OF THE LAYERS ARE NOT INACTIVE BUT FROZEN
- Run on RunPod
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Model overview
adityag-india/first5-mlp-layers-batchsize-8 is a task-unspecified model repository published by adityag-india on Hugging Face. A library was not reported.
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- Created
- 2026-10-26T06:38:25.000Z
- Last modified
- 2026-10-26T06:41:51.000Z
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Source: Hugging Face Hub. Metadata observed 2026-10-26T06:47:05.388Z. Daily imports are snapshots, not real-time monitoring.
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