Instructions to use humanlong/improving-self-evolution-mbpp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use humanlong/improving-self-evolution-mbpp with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("humanlong/improving-self-evolution-mbpp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download eval64/manifest.json from humanlong/improving-self-evolution-mbpp: direct link, hf CLI and curl.
- Browser
- Download file 4.18 kB
-
https://huggingface.co/humanlong/improving-self-evolution-mbpp/resolve/main/eval64/manifest.json
- Command line
-
hf download hf://humanlong/improving-self-evolution-mbpp/eval64/manifest.json
-
curl -L -o manifest.json https://huggingface.co/humanlong/improving-self-evolution-mbpp/resolve/main/eval64/manifest.json
4.18 kB
| { | |
| "schema_version": 1, | |
| "run": "retention_5round_single_seed_train16_eval16_b128_v1", | |
| "training_seed": 43, | |
| "train_tasks": 291, | |
| "train_samples_per_task_per_round": 16, | |
| "rounds": 5, | |
| "eval_tasks": 500, | |
| "eval_samples_per_task": 64, | |
| "models": [ | |
| "base", | |
| "plain", | |
| "spd_hard", | |
| "spectral_soft" | |
| ], | |
| "ks": [ | |
| 1, | |
| 4, | |
| 8, | |
| 16, | |
| 64 | |
| ], | |
| "correct_matched_budgets": [ | |
| 4, | |
| 8, | |
| 16, | |
| 64 | |
| ], | |
| "evaluation_provenance_status": "identical task_local_v2 declarations across all four models", | |
| "sources": [ | |
| { | |
| "path": "runs/retention_5round_single_seed_train16_eval16_b128_v1/supplemental_eval64/base/evaluation.jsonl", | |
| "bytes": 84523775, | |
| "sha256": "007e9117e2850cd360e3cfbd4b7c25b24994d8a16ac39868a2b1a76be56b9de3" | |
| }, | |
| { | |
| "path": "runs/retention_5round_single_seed_train16_eval16_b128_v1/supplemental_eval64/base/evaluation.verified.jsonl", | |
| "bytes": 117554831, | |
| "sha256": "3491c161b0a8a3cf90879a3705e33a5fb38bd042c68327afbc89a3d8e393010d" | |
| }, | |
| { | |
| "path": "runs/retention_5round_single_seed_train16_eval16_b128_v1/supplemental_eval64/base/evaluation.metrics.json", | |
| "bytes": 3342068, | |
| "sha256": "a42d0319e011bd0ddafeff47d39ed23eedcd56505a45ddbbabbf38210254bc14" | |
| }, | |
| { | |
| "path": "runs/retention_5round_single_seed_train16_eval16_b128_v1/supplemental_eval64/plain/evaluation.jsonl", | |
| "bytes": 68989331, | |
| "sha256": "77b7070b4d4c40a4133451e1f0a26ea04327c13e808ba9da9816b924c5427e8c" | |
| }, | |
| { | |
| "path": "runs/retention_5round_single_seed_train16_eval16_b128_v1/supplemental_eval64/plain/evaluation.verified.jsonl", | |
| "bytes": 98547609, | |
| "sha256": "7f02e53bbbc28f18f0525ff9fb3d75f3b93e1a54ef00eb144fe9d6a1b81b5f4d" | |
| }, | |
| { | |
| "path": "runs/retention_5round_single_seed_train16_eval16_b128_v1/supplemental_eval64/plain/evaluation.metrics.json", | |
| "bytes": 2980610, | |
| "sha256": "c387c113f3051213632b8e60370bc214812aa53a425b37d47ee2168f47b956c5" | |
| }, | |
| { | |
| "path": "runs/retention_5round_single_seed_train16_eval16_b128_v1/supplemental_eval64/spd_hard/evaluation.jsonl", | |
| "bytes": 65545873, | |
| "sha256": "4e5e67df7e6c63146c7d32a06d0716abbeb40cbd194301f5fefac3146339b4f3" | |
| }, | |
| { | |
| "path": "runs/retention_5round_single_seed_train16_eval16_b128_v1/supplemental_eval64/spd_hard/evaluation.verified.jsonl", | |
| "bytes": 94473226, | |
| "sha256": "1e94017848bd71e0ca35ce28ee4b6633b25c417aa7038f453d2660b7f6cd018a" | |
| }, | |
| { | |
| "path": "runs/retention_5round_single_seed_train16_eval16_b128_v1/supplemental_eval64/spd_hard/evaluation.metrics.json", | |
| "bytes": 2920343, | |
| "sha256": "a6268c5e658c97a58c3ce74dba34aa1c7089c94283383ac28c58fa78c47d701b" | |
| }, | |
| { | |
| "path": "runs/retention_5round_single_seed_train16_eval16_b128_v1/supplemental_eval64/spectral_soft/evaluation.jsonl", | |
| "bytes": 71794243, | |
| "sha256": "1868edd31dc1ad383d67a09e91956f6b4cd3182162a2099186a9cf35731657ba" | |
| }, | |
| { | |
| "path": "runs/retention_5round_single_seed_train16_eval16_b128_v1/supplemental_eval64/spectral_soft/evaluation.verified.jsonl", | |
| "bytes": 102663914, | |
| "sha256": "3d7802860d0854f736653b91d390a83ff7a2c7d3e19cd3cd0ff41af555e8ac15" | |
| }, | |
| { | |
| "path": "runs/retention_5round_single_seed_train16_eval16_b128_v1/supplemental_eval64/spectral_soft/evaluation.metrics.json", | |
| "bytes": 3188240, | |
| "sha256": "1e3e64c77e9ab2c39c503d6afb5222501598dcdf3aeeccff1bc403e9291a983c" | |
| }, | |
| { | |
| "path": "runs/retention_5round_single_seed_train16_eval16_b128_v1/supplemental_eval64/summary.csv", | |
| "bytes": 3390, | |
| "sha256": "cb7eb3882257f6603025f5f2005d7d94734804ac75ef5ee7655cc01ccdd32d3f" | |
| }, | |
| { | |
| "path": "runs/retention_5round_single_seed_train16_eval16_b128_v1/supplemental_eval64/comparisons.json", | |
| "bytes": 1558396, | |
| "sha256": "dc35a5a934b487147b813410f4abb69953df25ad73721d72ee81fd4db736a598" | |
| }, | |
| { | |
| "path": "runs/retention_5round_single_seed_train16_eval16_b128_v1/supplemental_eval64/REPORT.md", | |
| "bytes": 3137, | |
| "sha256": "72fba781e8aad9635bf06502249386a4f584c5da0ca9c22d622a6aadd4292799" | |
| } | |
| ] | |
| } | |