Instructions to use SinhalaMMLU-SharedTask/team-sinbotics with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use SinhalaMMLU-SharedTask/team-sinbotics with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Download training/logs/final_run_config.json from SinhalaMMLU-SharedTask/team-sinbotics: direct link, hf CLI and curl.
- Browser
- Download file 1.34 kB
-
https://huggingface.co/SinhalaMMLU-SharedTask/team-sinbotics/resolve/main/training/logs/final_run_config.json
- Command line
-
hf download hf://SinhalaMMLU-SharedTask/team-sinbotics/training/logs/final_run_config.json
-
curl -L -o final_run_config.json https://huggingface.co/SinhalaMMLU-SharedTask/team-sinbotics/resolve/main/training/logs/final_run_config.json
1.34 kB
| { | |
| "exp_id": "qwen35_4b_lora_combined__none__cot_en_role_think__chaton__p1__c0__trnone__mt4096__test", | |
| "data": "test", | |
| "n": 2238, | |
| "method": "cot", | |
| "model_cfg": { | |
| "name": "qwen35_4b_lora_combined", | |
| "model": "models/qwen35_4b_lora_combined", | |
| "revision": null, | |
| "chat_capable": true, | |
| "dtype": "auto", | |
| "quant": "none", | |
| "batch_size": 16, | |
| "gen_batch_size": 48, | |
| "seed": 42 | |
| }, | |
| "condition": { | |
| "prompt": "cot_en_role_think", | |
| "chat": "on", | |
| "perms": 1, | |
| "calibrate": false, | |
| "translator": "none", | |
| "max_new_tokens": 4096 | |
| }, | |
| "model_info": { | |
| "dtype_resolved": "bfloat16", | |
| "quant": "none", | |
| "revision_resolved": null, | |
| "n_params_total": 4205751296, | |
| "context_length": 262144 | |
| }, | |
| "env": { | |
| "python": "3.12.3", | |
| "git_rev": null, | |
| "torch": "2.8.0+cu128", | |
| "transformers": "5.18.0", | |
| "accelerate": "1.15.0", | |
| "bitsandbytes": "0.50.2", | |
| "peft": "0.21.1", | |
| "cuda": "12.8", | |
| "gpu": "NVIDIA A100-SXM4-40GB" | |
| }, | |
| "translator_meta": null, | |
| "stats": { | |
| "parse_rate": 0.5598748882931188, | |
| "parsed_agrees_with_scored": 0.9744612928970471, | |
| "label_mass_mean": 0.999323195996098, | |
| "label_mass_min": 0.09185313298483676, | |
| "max_new_tokens": 4096, | |
| "samples": 1, | |
| "orders": 1, | |
| "max_len": 4865, | |
| "seconds": 14778.8 | |
| } | |
| } |