Instructions to use baohuynhbk14/miniCPM_finetune_lora_viet_vqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use baohuynhbk14/miniCPM_finetune_lora_viet_vqa with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 2.0, | |
| "eval_steps": 1000, | |
| "global_step": 144, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.06944444444444445, | |
| "grad_norm": 8.71909236907959, | |
| "learning_rate": 1e-06, | |
| "loss": 2.6593, | |
| "step": 5 | |
| }, | |
| { | |
| "epoch": 0.1388888888888889, | |
| "grad_norm": 8.853459358215332, | |
| "learning_rate": 1e-06, | |
| "loss": 2.4766, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.20833333333333334, | |
| "grad_norm": 6.577568054199219, | |
| "learning_rate": 1e-06, | |
| "loss": 2.495, | |
| "step": 15 | |
| }, | |
| { | |
| "epoch": 0.2777777777777778, | |
| "grad_norm": 8.3203706741333, | |
| "learning_rate": 1e-06, | |
| "loss": 2.6105, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.3472222222222222, | |
| "grad_norm": 7.732483863830566, | |
| "learning_rate": 1e-06, | |
| "loss": 2.4744, | |
| "step": 25 | |
| }, | |
| { | |
| "epoch": 0.4166666666666667, | |
| "grad_norm": 6.6942548751831055, | |
| "learning_rate": 1e-06, | |
| "loss": 2.5163, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 0.4861111111111111, | |
| "grad_norm": 5.781284809112549, | |
| "learning_rate": 1e-06, | |
| "loss": 2.3854, | |
| "step": 35 | |
| }, | |
| { | |
| "epoch": 0.5555555555555556, | |
| "grad_norm": 7.311328887939453, | |
| "learning_rate": 1e-06, | |
| "loss": 2.4442, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.625, | |
| "grad_norm": 6.254249572753906, | |
| "learning_rate": 1e-06, | |
| "loss": 2.2468, | |
| "step": 45 | |
| }, | |
| { | |
| "epoch": 0.6944444444444444, | |
| "grad_norm": 7.6778669357299805, | |
| "learning_rate": 1e-06, | |
| "loss": 2.2565, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 0.7638888888888888, | |
| "grad_norm": 7.495645523071289, | |
| "learning_rate": 1e-06, | |
| "loss": 2.4391, | |
| "step": 55 | |
| }, | |
| { | |
| "epoch": 0.8333333333333334, | |
| "grad_norm": 5.458991527557373, | |
| "learning_rate": 1e-06, | |
| "loss": 2.2362, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 0.9027777777777778, | |
| "grad_norm": 5.659170627593994, | |
| "learning_rate": 1e-06, | |
| "loss": 2.2188, | |
| "step": 65 | |
| }, | |
| { | |
| "epoch": 0.9722222222222222, | |
| "grad_norm": 4.8217997550964355, | |
| "learning_rate": 1e-06, | |
| "loss": 2.154, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 1.0416666666666667, | |
| "grad_norm": 6.693627834320068, | |
| "learning_rate": 1e-06, | |
| "loss": 2.1182, | |
| "step": 75 | |
| }, | |
| { | |
| "epoch": 1.1111111111111112, | |
| "grad_norm": 6.67255973815918, | |
| "learning_rate": 1e-06, | |
| "loss": 2.1879, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 1.1805555555555556, | |
| "grad_norm": 4.831326007843018, | |
| "learning_rate": 1e-06, | |
| "loss": 2.1077, | |
| "step": 85 | |
| }, | |
| { | |
| "epoch": 1.25, | |
| "grad_norm": 4.830414295196533, | |
| "learning_rate": 1e-06, | |
| "loss": 2.026, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 1.3194444444444444, | |
| "grad_norm": 5.039080619812012, | |
| "learning_rate": 1e-06, | |
| "loss": 2.0585, | |
| "step": 95 | |
| }, | |
| { | |
| "epoch": 1.3888888888888888, | |
| "grad_norm": 5.749475002288818, | |
| "learning_rate": 1e-06, | |
| "loss": 2.0486, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 1.4583333333333333, | |
| "grad_norm": 5.0571770668029785, | |
| "learning_rate": 1e-06, | |
| "loss": 1.9616, | |
| "step": 105 | |
| }, | |
| { | |
| "epoch": 1.5277777777777777, | |
| "grad_norm": 4.597809314727783, | |
| "learning_rate": 1e-06, | |
| "loss": 1.9063, | |
| "step": 110 | |
| }, | |
| { | |
| "epoch": 1.5972222222222223, | |
| "grad_norm": 5.453224182128906, | |
| "learning_rate": 1e-06, | |
| "loss": 2.1802, | |
| "step": 115 | |
| }, | |
| { | |
| "epoch": 1.6666666666666665, | |
| "grad_norm": 4.519564628601074, | |
| "learning_rate": 1e-06, | |
| "loss": 2.2049, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 1.7361111111111112, | |
| "grad_norm": 4.976806163787842, | |
| "learning_rate": 1e-06, | |
| "loss": 1.8881, | |
| "step": 125 | |
| }, | |
| { | |
| "epoch": 1.8055555555555556, | |
| "grad_norm": 4.543058395385742, | |
| "learning_rate": 1e-06, | |
| "loss": 2.0673, | |
| "step": 130 | |
| }, | |
| { | |
| "epoch": 1.875, | |
| "grad_norm": 4.89597225189209, | |
| "learning_rate": 1e-06, | |
| "loss": 2.0158, | |
| "step": 135 | |
| }, | |
| { | |
| "epoch": 1.9444444444444444, | |
| "grad_norm": 4.95186185836792, | |
| "learning_rate": 1e-06, | |
| "loss": 2.0052, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "step": 144, | |
| "total_flos": 9.601343958286336e+16, | |
| "train_loss": 2.2213990655210285, | |
| "train_runtime": 2501.8045, | |
| "train_samples_per_second": 0.921, | |
| "train_steps_per_second": 0.058 | |
| } | |
| ], | |
| "logging_steps": 5, | |
| "max_steps": 144, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 2, | |
| "save_steps": 200, | |
| "total_flos": 9.601343958286336e+16, | |
| "train_batch_size": 4, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |