Instructions to use CMU-AIR2/deepseek-math-base-LORA-ArithSteps-4k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use CMU-AIR2/deepseek-math-base-LORA-ArithSteps-4k with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("deepseek-ai/deepseek-math-7b-base") model = PeftModel.from_pretrained(base_model, "CMU-AIR2/deepseek-math-base-LORA-ArithSteps-4k") - Notebooks
- Google Colab
- Kaggle
Download trainer_state.json from CMU-AIR2/deepseek-math-base-LORA-ArithSteps-4k: direct link, hf CLI and curl.
- Browser
- Download file 7.23 kB
-
https://huggingface.co/CMU-AIR2/deepseek-math-base-LORA-ArithSteps-4k/resolve/main/trainer_state.json
- Command line
-
hf download hf://CMU-AIR2/deepseek-math-base-LORA-ArithSteps-4k/trainer_state.json
-
curl -L -o trainer_state.json https://huggingface.co/CMU-AIR2/deepseek-math-base-LORA-ArithSteps-4k/resolve/main/trainer_state.json
7.23 kB
| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 0.2, | |
| "eval_steps": 2000, | |
| "global_step": 4000, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.01, | |
| "grad_norm": 0.9697519540786743, | |
| "learning_rate": 1e-06, | |
| "loss": 0.1629, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.01, | |
| "grad_norm": 1.3848124742507935, | |
| "learning_rate": 9.898989898989898e-07, | |
| "loss": 0.14, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.01, | |
| "grad_norm": 0.9986572265625, | |
| "learning_rate": 9.797979797979797e-07, | |
| "loss": 0.1354, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 0.02, | |
| "grad_norm": 0.11438798904418945, | |
| "learning_rate": 9.696969696969698e-07, | |
| "loss": 0.1182, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 0.03, | |
| "grad_norm": 0.8548241257667542, | |
| "learning_rate": 9.595959595959596e-07, | |
| "loss": 0.1192, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.03, | |
| "grad_norm": 1.5312464237213135, | |
| "learning_rate": 9.494949494949495e-07, | |
| "loss": 0.0997, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 0.04, | |
| "grad_norm": 0.9692059755325317, | |
| "learning_rate": 9.393939393939395e-07, | |
| "loss": 0.102, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 0.04, | |
| "grad_norm": 0.42864611744880676, | |
| "learning_rate": 9.292929292929292e-07, | |
| "loss": 0.0901, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 0.04, | |
| "grad_norm": 0.852543830871582, | |
| "learning_rate": 9.191919191919192e-07, | |
| "loss": 0.0937, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 0.05, | |
| "grad_norm": 0.5718303322792053, | |
| "learning_rate": 9.09090909090909e-07, | |
| "loss": 0.093, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.06, | |
| "grad_norm": 0.9396565556526184, | |
| "learning_rate": 8.98989898989899e-07, | |
| "loss": 0.0892, | |
| "step": 1100 | |
| }, | |
| { | |
| "epoch": 0.06, | |
| "grad_norm": 0.08157779276371002, | |
| "learning_rate": 8.888888888888888e-07, | |
| "loss": 0.0934, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 0.07, | |
| "grad_norm": 0.8076322078704834, | |
| "learning_rate": 8.787878787878787e-07, | |
| "loss": 0.0725, | |
| "step": 1300 | |
| }, | |
| { | |
| "epoch": 0.07, | |
| "grad_norm": 1.5076119899749756, | |
| "learning_rate": 8.686868686868687e-07, | |
| "loss": 0.0835, | |
| "step": 1400 | |
| }, | |
| { | |
| "epoch": 0.07, | |
| "grad_norm": 1.1567238569259644, | |
| "learning_rate": 8.585858585858586e-07, | |
| "loss": 0.0747, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 0.08, | |
| "grad_norm": 0.6817927956581116, | |
| "learning_rate": 8.484848484848484e-07, | |
| "loss": 0.0903, | |
| "step": 1600 | |
| }, | |
| { | |
| "epoch": 0.09, | |
| "grad_norm": 0.6467050313949585, | |
| "learning_rate": 8.383838383838383e-07, | |
| "loss": 0.0721, | |
| "step": 1700 | |
| }, | |
| { | |
| "epoch": 0.09, | |
| "grad_norm": 1.8435570001602173, | |
| "learning_rate": 8.282828282828283e-07, | |
| "loss": 0.0847, | |
| "step": 1800 | |
| }, | |
| { | |
| "epoch": 0.1, | |
| "grad_norm": 0.6265794634819031, | |
| "learning_rate": 8.181818181818182e-07, | |
| "loss": 0.0687, | |
| "step": 1900 | |
| }, | |
| { | |
| "epoch": 0.1, | |
| "grad_norm": 1.360060453414917, | |
| "learning_rate": 8.08080808080808e-07, | |
| "loss": 0.0748, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.1, | |
| "eval_loss": 0.06745574623346329, | |
| "eval_runtime": 304.7718, | |
| "eval_samples_per_second": 3.281, | |
| "eval_steps_per_second": 0.82, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.1, | |
| "grad_norm": 0.5074820518493652, | |
| "learning_rate": 7.97979797979798e-07, | |
| "loss": 0.0699, | |
| "step": 2100 | |
| }, | |
| { | |
| "epoch": 0.11, | |
| "grad_norm": 1.3634223937988281, | |
| "learning_rate": 7.878787878787878e-07, | |
| "loss": 0.0682, | |
| "step": 2200 | |
| }, | |
| { | |
| "epoch": 0.12, | |
| "grad_norm": 3.0763113498687744, | |
| "learning_rate": 7.777777777777778e-07, | |
| "loss": 0.0786, | |
| "step": 2300 | |
| }, | |
| { | |
| "epoch": 0.12, | |
| "grad_norm": 1.5437021255493164, | |
| "learning_rate": 7.676767676767675e-07, | |
| "loss": 0.065, | |
| "step": 2400 | |
| }, | |
| { | |
| "epoch": 0.12, | |
| "grad_norm": 1.5890172719955444, | |
| "learning_rate": 7.575757575757575e-07, | |
| "loss": 0.0772, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 0.13, | |
| "grad_norm": 0.9904383420944214, | |
| "learning_rate": 7.474747474747475e-07, | |
| "loss": 0.0735, | |
| "step": 2600 | |
| }, | |
| { | |
| "epoch": 0.14, | |
| "grad_norm": 0.9233341813087463, | |
| "learning_rate": 7.373737373737373e-07, | |
| "loss": 0.0695, | |
| "step": 2700 | |
| }, | |
| { | |
| "epoch": 0.14, | |
| "grad_norm": 0.10603007674217224, | |
| "learning_rate": 7.272727272727272e-07, | |
| "loss": 0.0595, | |
| "step": 2800 | |
| }, | |
| { | |
| "epoch": 0.14, | |
| "grad_norm": 0.9929779767990112, | |
| "learning_rate": 7.171717171717171e-07, | |
| "loss": 0.0595, | |
| "step": 2900 | |
| }, | |
| { | |
| "epoch": 0.15, | |
| "grad_norm": 0.4711184799671173, | |
| "learning_rate": 7.07070707070707e-07, | |
| "loss": 0.0606, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 0.15, | |
| "grad_norm": 0.5627967715263367, | |
| "learning_rate": 6.96969696969697e-07, | |
| "loss": 0.0713, | |
| "step": 3100 | |
| }, | |
| { | |
| "epoch": 0.16, | |
| "grad_norm": 0.7645086646080017, | |
| "learning_rate": 6.868686868686868e-07, | |
| "loss": 0.0672, | |
| "step": 3200 | |
| }, | |
| { | |
| "epoch": 0.17, | |
| "grad_norm": 0.8071433901786804, | |
| "learning_rate": 6.767676767676767e-07, | |
| "loss": 0.0809, | |
| "step": 3300 | |
| }, | |
| { | |
| "epoch": 0.17, | |
| "grad_norm": 1.281545877456665, | |
| "learning_rate": 6.666666666666666e-07, | |
| "loss": 0.0577, | |
| "step": 3400 | |
| }, | |
| { | |
| "epoch": 0.17, | |
| "grad_norm": 1.15431547164917, | |
| "learning_rate": 6.565656565656566e-07, | |
| "loss": 0.0613, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 0.18, | |
| "grad_norm": 0.42522451281547546, | |
| "learning_rate": 6.464646464646465e-07, | |
| "loss": 0.0531, | |
| "step": 3600 | |
| }, | |
| { | |
| "epoch": 0.18, | |
| "grad_norm": 1.2078278064727783, | |
| "learning_rate": 6.363636363636363e-07, | |
| "loss": 0.0692, | |
| "step": 3700 | |
| }, | |
| { | |
| "epoch": 0.19, | |
| "grad_norm": 2.207512855529785, | |
| "learning_rate": 6.262626262626263e-07, | |
| "loss": 0.0508, | |
| "step": 3800 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "grad_norm": 1.696768045425415, | |
| "learning_rate": 6.161616161616161e-07, | |
| "loss": 0.0655, | |
| "step": 3900 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "grad_norm": 0.6295761466026306, | |
| "learning_rate": 6.060606060606061e-07, | |
| "loss": 0.0577, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "eval_loss": 0.057661667466163635, | |
| "eval_runtime": 304.4519, | |
| "eval_samples_per_second": 3.285, | |
| "eval_steps_per_second": 0.821, | |
| "step": 4000 | |
| } | |
| ], | |
| "logging_steps": 100, | |
| "max_steps": 10000, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 1, | |
| "save_steps": 1000, | |
| "total_flos": 3.26411004936192e+17, | |
| "train_batch_size": 4, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |