Instructions to use moncefem/memory-lora-gemma4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use moncefem/memory-lora-gemma4 with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
autopush: h200_run checkpoint @ 2026-07-25T13:52:07Z
Browse files- .gitattributes +1 -0
- runs/h200_run/head.best.pt +3 -0
- runs/h200_run/metrics.jsonl +4 -0
.gitattributes
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{"step": 400, "epoch": 0, "end_of_epoch": false, "eval_loss": 5.608470782055079, "suites": {"cr_val": {"eval_loss": 5.608470782055079, "n_docs": 60, "n_tokens": 13481, "baseline_loss": 7.980483633289969, "delta_vs_baseline": -2.3720128512348904}, "cr_test": {"eval_loss": 5.570762737579796, "n_docs": 60, "n_tokens": 14254, "baseline_loss": 8.065613950872816, "delta_vs_baseline": -2.4948512132930203}, "_diag": {"adapter_cosine": 0.04115094244480133, "adapter_delta_fro": 3.36551570892334}}}
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{"step": 800, "epoch": 0, "end_of_epoch": false, "eval_loss": 3.1739312672011977, "suites": {"cr_val": {"eval_loss": 3.1739312672011977, "n_docs": 60, "n_tokens": 13481, "baseline_loss": 7.980483633289969, "delta_vs_baseline": -4.806552366088772}, "cr_test": {"eval_loss": 3.1755788231257287, "n_docs": 60, "n_tokens": 14254, "baseline_loss": 8.065613950872816, "delta_vs_baseline": -4.890035127747087}, "_diag": {"adapter_cosine": 0.2494429349899292, "adapter_delta_fro": 3.353330612182617}}}
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{"step": 1200, "epoch": 0, "end_of_epoch": false, "eval_loss": 2.8912936294744687, "suites": {"cr_val": {"eval_loss": 2.8912936294744687, "n_docs": 60, "n_tokens": 13481, "baseline_loss": 7.980483633289969, "delta_vs_baseline": -5.089190003815501}, "cr_test": {"eval_loss": 2.8929684969692087, "n_docs": 60, "n_tokens": 14254, "baseline_loss": 8.065613950872816, "delta_vs_baseline": -5.172645453903607}, "_diag": {"adapter_cosine": 0.34518808126449585, "adapter_delta_fro": 3.3041810989379883}}}
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{"step": 1600, "epoch": 0, "end_of_epoch": false, "eval_loss": 2.7959226398243056, "suites": {"cr_val": {"eval_loss": 2.7959226398243056, "n_docs": 60, "n_tokens": 13481, "baseline_loss": 7.980483633289969, "delta_vs_baseline": -5.184560993465664}, "cr_test": {"eval_loss": 2.7954453304169538, "n_docs": 60, "n_tokens": 14254, "baseline_loss": 8.065613950872816, "delta_vs_baseline": -5.270168620455863}, "_diag": {"adapter_cosine": 0.36626213788986206, "adapter_delta_fro": 3.252228260040283}}}
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