Instructions to use 0x1202/1d0bf1b7-8b77-45e4-869c-1752be82a1a8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 0x1202/1d0bf1b7-8b77-45e4-869c-1752be82a1a8 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-7B-Instruct") model = PeftModel.from_pretrained(base_model, "0x1202/1d0bf1b7-8b77-45e4-869c-1752be82a1a8") - Notebooks
- Google Colab
- Kaggle
| { | |
| "best_metric": 1.7377251386642456, | |
| "best_model_checkpoint": "miner_id_24/checkpoint-200", | |
| "epoch": 0.18509949097639983, | |
| "eval_steps": 50, | |
| "global_step": 200, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.0009254974548819991, | |
| "eval_loss": 2.0847232341766357, | |
| "eval_runtime": 162.4017, | |
| "eval_samples_per_second": 11.207, | |
| "eval_steps_per_second": 2.802, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.00925497454881999, | |
| "grad_norm": 0.5288553833961487, | |
| "learning_rate": 5e-05, | |
| "loss": 1.9788, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.01850994909763998, | |
| "grad_norm": 0.2687051594257355, | |
| "learning_rate": 0.0001, | |
| "loss": 1.8967, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.027764923646459973, | |
| "grad_norm": 0.285468190908432, | |
| "learning_rate": 9.924038765061042e-05, | |
| "loss": 1.8612, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 0.03701989819527996, | |
| "grad_norm": 0.3615187406539917, | |
| "learning_rate": 9.698463103929542e-05, | |
| "loss": 1.8278, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.04627487274409996, | |
| "grad_norm": 0.8302805423736572, | |
| "learning_rate": 9.330127018922194e-05, | |
| "loss": 1.7995, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 0.04627487274409996, | |
| "eval_loss": 1.8223581314086914, | |
| "eval_runtime": 164.1133, | |
| "eval_samples_per_second": 11.09, | |
| "eval_steps_per_second": 2.772, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 0.055529847292919945, | |
| "grad_norm": 0.2162926346063614, | |
| "learning_rate": 8.83022221559489e-05, | |
| "loss": 1.8218, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 0.06478482184173993, | |
| "grad_norm": 0.22706399857997894, | |
| "learning_rate": 8.213938048432697e-05, | |
| "loss": 1.7809, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 0.07403979639055992, | |
| "grad_norm": 0.26259857416152954, | |
| "learning_rate": 7.500000000000001e-05, | |
| "loss": 1.775, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 0.08329477093937991, | |
| "grad_norm": 0.33791765570640564, | |
| "learning_rate": 6.710100716628344e-05, | |
| "loss": 1.7634, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 0.09254974548819991, | |
| "grad_norm": 0.899003267288208, | |
| "learning_rate": 5.868240888334653e-05, | |
| "loss": 1.7645, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.09254974548819991, | |
| "eval_loss": 1.7726473808288574, | |
| "eval_runtime": 164.1416, | |
| "eval_samples_per_second": 11.088, | |
| "eval_steps_per_second": 2.772, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.1018047200370199, | |
| "grad_norm": 0.21113358438014984, | |
| "learning_rate": 5e-05, | |
| "loss": 1.7978, | |
| "step": 110 | |
| }, | |
| { | |
| "epoch": 0.11105969458583989, | |
| "grad_norm": 0.23512417078018188, | |
| "learning_rate": 4.131759111665349e-05, | |
| "loss": 1.7734, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 0.12031466913465988, | |
| "grad_norm": 0.28493714332580566, | |
| "learning_rate": 3.289899283371657e-05, | |
| "loss": 1.7711, | |
| "step": 130 | |
| }, | |
| { | |
| "epoch": 0.12956964368347987, | |
| "grad_norm": 0.33335134387016296, | |
| "learning_rate": 2.500000000000001e-05, | |
| "loss": 1.7619, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 0.13882461823229986, | |
| "grad_norm": 0.7424925565719604, | |
| "learning_rate": 1.7860619515673033e-05, | |
| "loss": 1.7731, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 0.13882461823229986, | |
| "eval_loss": 1.7417677640914917, | |
| "eval_runtime": 164.0774, | |
| "eval_samples_per_second": 11.092, | |
| "eval_steps_per_second": 2.773, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 0.14807959278111985, | |
| "grad_norm": 0.22447636723518372, | |
| "learning_rate": 1.1697777844051105e-05, | |
| "loss": 1.7912, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 0.15733456732993983, | |
| "grad_norm": 0.23410490155220032, | |
| "learning_rate": 6.698729810778065e-06, | |
| "loss": 1.7734, | |
| "step": 170 | |
| }, | |
| { | |
| "epoch": 0.16658954187875982, | |
| "grad_norm": 0.2778407037258148, | |
| "learning_rate": 3.0153689607045845e-06, | |
| "loss": 1.7592, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 0.1758445164275798, | |
| "grad_norm": 0.3438330888748169, | |
| "learning_rate": 7.596123493895991e-07, | |
| "loss": 1.7603, | |
| "step": 190 | |
| }, | |
| { | |
| "epoch": 0.18509949097639983, | |
| "grad_norm": 0.7146674394607544, | |
| "learning_rate": 0.0, | |
| "loss": 1.7467, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.18509949097639983, | |
| "eval_loss": 1.7377251386642456, | |
| "eval_runtime": 163.7691, | |
| "eval_samples_per_second": 11.113, | |
| "eval_steps_per_second": 2.778, | |
| "step": 200 | |
| } | |
| ], | |
| "logging_steps": 10, | |
| "max_steps": 200, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 1, | |
| "save_steps": 50, | |
| "stateful_callbacks": { | |
| "EarlyStoppingCallback": { | |
| "args": { | |
| "early_stopping_patience": 5, | |
| "early_stopping_threshold": 0.0 | |
| }, | |
| "attributes": { | |
| "early_stopping_patience_counter": 0 | |
| } | |
| }, | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": true | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 3.5796047653502976e+17, | |
| "train_batch_size": 8, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |