Instructions to use jgayed/gemmalora120 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jgayed/gemmalora120 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-3-27b-it") model = PeftModel.from_pretrained(base_model, "jgayed/gemmalora120") - Notebooks
- Google Colab
- Kaggle
| { | |
| "best_global_step": null, | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 8.0, | |
| "eval_steps": 500, | |
| "global_step": 120, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.3333333333333333, | |
| "grad_norm": 79.55762481689453, | |
| "learning_rate": 4.9786121534345265e-05, | |
| "loss": 45.253, | |
| "num_input_tokens_seen": 47512, | |
| "step": 5 | |
| }, | |
| { | |
| "epoch": 0.6666666666666666, | |
| "grad_norm": 17.002260208129883, | |
| "learning_rate": 4.914814565722671e-05, | |
| "loss": 3.0254, | |
| "num_input_tokens_seen": 94536, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "grad_norm": 35.45703887939453, | |
| "learning_rate": 4.8096988312782174e-05, | |
| "loss": 3.1619, | |
| "num_input_tokens_seen": 141336, | |
| "step": 15 | |
| }, | |
| { | |
| "epoch": 1.3333333333333333, | |
| "grad_norm": 32.79413604736328, | |
| "learning_rate": 4.665063509461097e-05, | |
| "loss": 1.7871, | |
| "num_input_tokens_seen": 188368, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 1.6666666666666665, | |
| "grad_norm": 57.80039978027344, | |
| "learning_rate": 4.4833833507280884e-05, | |
| "loss": 2.643, | |
| "num_input_tokens_seen": 235128, | |
| "step": 25 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 8.35395622253418, | |
| "learning_rate": 4.267766952966369e-05, | |
| "loss": 2.3801, | |
| "num_input_tokens_seen": 282672, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 2.3333333333333335, | |
| "grad_norm": 13.160042762756348, | |
| "learning_rate": 4.021903572521802e-05, | |
| "loss": 1.6999, | |
| "num_input_tokens_seen": 329864, | |
| "step": 35 | |
| }, | |
| { | |
| "epoch": 2.6666666666666665, | |
| "grad_norm": 31.193811416625977, | |
| "learning_rate": 3.7500000000000003e-05, | |
| "loss": 1.5571, | |
| "num_input_tokens_seen": 377952, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "grad_norm": 57.113609313964844, | |
| "learning_rate": 3.456708580912725e-05, | |
| "loss": 1.7335, | |
| "num_input_tokens_seen": 424008, | |
| "step": 45 | |
| }, | |
| { | |
| "epoch": 3.3333333333333335, | |
| "grad_norm": 26.844955444335938, | |
| "learning_rate": 3.147047612756302e-05, | |
| "loss": 1.1859, | |
| "num_input_tokens_seen": 471344, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 3.6666666666666665, | |
| "grad_norm": 19.28535270690918, | |
| "learning_rate": 2.8263154805501297e-05, | |
| "loss": 0.9846, | |
| "num_input_tokens_seen": 517832, | |
| "step": 55 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "grad_norm": 16.303863525390625, | |
| "learning_rate": 2.5e-05, | |
| "loss": 0.901, | |
| "num_input_tokens_seen": 565344, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 4.333333333333333, | |
| "grad_norm": 38.277183532714844, | |
| "learning_rate": 2.173684519449872e-05, | |
| "loss": 0.4142, | |
| "num_input_tokens_seen": 612336, | |
| "step": 65 | |
| }, | |
| { | |
| "epoch": 4.666666666666667, | |
| "grad_norm": 16.51125144958496, | |
| "learning_rate": 1.852952387243698e-05, | |
| "loss": 0.6221, | |
| "num_input_tokens_seen": 659560, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "grad_norm": 55.58554458618164, | |
| "learning_rate": 1.5432914190872757e-05, | |
| "loss": 0.7115, | |
| "num_input_tokens_seen": 706680, | |
| "step": 75 | |
| }, | |
| { | |
| "epoch": 5.333333333333333, | |
| "grad_norm": 7.757297992706299, | |
| "learning_rate": 1.2500000000000006e-05, | |
| "loss": 0.1582, | |
| "num_input_tokens_seen": 754048, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 5.666666666666667, | |
| "grad_norm": 6.108384609222412, | |
| "learning_rate": 9.780964274781984e-06, | |
| "loss": 0.1891, | |
| "num_input_tokens_seen": 800984, | |
| "step": 85 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "grad_norm": 0.9440665245056152, | |
| "learning_rate": 7.3223304703363135e-06, | |
| "loss": 0.2214, | |
| "num_input_tokens_seen": 848016, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 6.333333333333333, | |
| "grad_norm": 0.9317387342453003, | |
| "learning_rate": 5.166166492719124e-06, | |
| "loss": 0.0135, | |
| "num_input_tokens_seen": 895040, | |
| "step": 95 | |
| }, | |
| { | |
| "epoch": 6.666666666666667, | |
| "grad_norm": 0.1581590473651886, | |
| "learning_rate": 3.3493649053890326e-06, | |
| "loss": 0.0055, | |
| "num_input_tokens_seen": 941960, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "grad_norm": 1.00675368309021, | |
| "learning_rate": 1.9030116872178316e-06, | |
| "loss": 0.031, | |
| "num_input_tokens_seen": 989352, | |
| "step": 105 | |
| }, | |
| { | |
| "epoch": 7.333333333333333, | |
| "grad_norm": 0.6310182213783264, | |
| "learning_rate": 8.51854342773295e-07, | |
| "loss": 0.0085, | |
| "num_input_tokens_seen": 1035760, | |
| "step": 110 | |
| }, | |
| { | |
| "epoch": 7.666666666666667, | |
| "grad_norm": 0.24195235967636108, | |
| "learning_rate": 2.1387846565474045e-07, | |
| "loss": 0.0032, | |
| "num_input_tokens_seen": 1083624, | |
| "step": 115 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "grad_norm": 0.020462460815906525, | |
| "learning_rate": 0.0, | |
| "loss": 0.0005, | |
| "num_input_tokens_seen": 1130688, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "num_input_tokens_seen": 1130688, | |
| "step": 120, | |
| "total_flos": 1.7959027775641805e+17, | |
| "train_loss": 2.86213872662629, | |
| "train_runtime": 778.6794, | |
| "train_samples_per_second": 1.233, | |
| "train_steps_per_second": 0.154 | |
| } | |
| ], | |
| "logging_steps": 5, | |
| "max_steps": 120, | |
| "num_input_tokens_seen": 1130688, | |
| "num_train_epochs": 8, | |
| "save_steps": 100, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": true | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 1.7959027775641805e+17, | |
| "train_batch_size": 1, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |