Instructions to use lei-HuggingFace/MiniCPM-V-2_6_LoRA_Adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use lei-HuggingFace/MiniCPM-V-2_6_LoRA_Adapter with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 34.285714285714285, | |
| "eval_steps": 10, | |
| "global_step": 60, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "learning_rate": 0, | |
| "loss": 1.3795, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 1.1428571428571428, | |
| "grad_norm": 2.172917366027832, | |
| "learning_rate": 0.0, | |
| "loss": 0.2103, | |
| "step": 2 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 2.172917366027832, | |
| "learning_rate": 0.0, | |
| "loss": 0.9608, | |
| "step": 3 | |
| }, | |
| { | |
| "epoch": 2.2857142857142856, | |
| "grad_norm": 0.879162609577179, | |
| "learning_rate": 0.0002, | |
| "loss": 0.2294, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "grad_norm": 0.879162609577179, | |
| "learning_rate": 0.0002, | |
| "loss": 0.8781, | |
| "step": 5 | |
| }, | |
| { | |
| "epoch": 3.4285714285714284, | |
| "grad_norm": 0.752986490726471, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5153, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "grad_norm": 0.752986490726471, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5011, | |
| "step": 7 | |
| }, | |
| { | |
| "epoch": 4.571428571428571, | |
| "grad_norm": 0.5658770203590393, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5315, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "grad_norm": 0.5658770203590393, | |
| "learning_rate": 0.0002, | |
| "loss": 0.3573, | |
| "step": 9 | |
| }, | |
| { | |
| "epoch": 5.714285714285714, | |
| "grad_norm": 0.6311860084533691, | |
| "learning_rate": 0.0002, | |
| "loss": 0.632, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 5.714285714285714, | |
| "eval_loss": 0.794529914855957, | |
| "eval_runtime": 1.124, | |
| "eval_samples_per_second": 6.228, | |
| "eval_steps_per_second": 6.228, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "grad_norm": 0.6311860084533691, | |
| "learning_rate": 0.0002, | |
| "loss": 0.1586, | |
| "step": 11 | |
| }, | |
| { | |
| "epoch": 6.857142857142857, | |
| "grad_norm": 0.6447564959526062, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5467, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "grad_norm": 0.6447564959526062, | |
| "learning_rate": 0.0002, | |
| "loss": 0.1358, | |
| "step": 13 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "grad_norm": 0.502592921257019, | |
| "learning_rate": 0.0002, | |
| "loss": 0.586, | |
| "step": 14 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "grad_norm": 0.502592921257019, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4717, | |
| "step": 15 | |
| }, | |
| { | |
| "epoch": 9.142857142857142, | |
| "grad_norm": 0.515450119972229, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0492, | |
| "step": 16 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "grad_norm": 0.515450119972229, | |
| "learning_rate": 0.0002, | |
| "loss": 0.3283, | |
| "step": 17 | |
| }, | |
| { | |
| "epoch": 10.285714285714286, | |
| "grad_norm": 0.6195679903030396, | |
| "learning_rate": 0.0002, | |
| "loss": 0.1528, | |
| "step": 18 | |
| }, | |
| { | |
| "epoch": 11.0, | |
| "grad_norm": 0.6195679903030396, | |
| "learning_rate": 0.0002, | |
| "loss": 0.1333, | |
| "step": 19 | |
| }, | |
| { | |
| "epoch": 11.428571428571429, | |
| "grad_norm": 0.593528151512146, | |
| "learning_rate": 0.0002, | |
| "loss": 0.1008, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 11.428571428571429, | |
| "eval_loss": 0.1764988899230957, | |
| "eval_runtime": 1.1181, | |
| "eval_samples_per_second": 6.26, | |
| "eval_steps_per_second": 6.26, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 12.0, | |
| "grad_norm": 0.593528151512146, | |
| "learning_rate": 0.0002, | |
| "loss": 0.1048, | |
| "step": 21 | |
| }, | |
| { | |
| "epoch": 12.571428571428571, | |
| "grad_norm": 0.5447816848754883, | |
| "learning_rate": 0.0002, | |
| "loss": 0.1318, | |
| "step": 22 | |
| }, | |
| { | |
| "epoch": 13.0, | |
| "grad_norm": 0.5447816848754883, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0098, | |
| "step": 23 | |
| }, | |
| { | |
| "epoch": 13.714285714285714, | |
| "grad_norm": 0.37343642115592957, | |
| "learning_rate": 0.0002, | |
| "loss": 0.069, | |
| "step": 24 | |
| }, | |
| { | |
| "epoch": 14.0, | |
| "grad_norm": 0.37343642115592957, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0154, | |
| "step": 25 | |
| }, | |
| { | |
| "epoch": 14.857142857142858, | |
| "grad_norm": 0.5212247967720032, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0554, | |
| "step": 26 | |
| }, | |
| { | |
| "epoch": 15.0, | |
| "grad_norm": 0.5212247967720032, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0011, | |
| "step": 27 | |
| }, | |
| { | |
| "epoch": 16.0, | |
| "grad_norm": 0.39550113677978516, | |
| "learning_rate": 0.0002, | |
| "loss": 0.027, | |
| "step": 28 | |
| }, | |
| { | |
| "epoch": 17.0, | |
| "grad_norm": 0.39550113677978516, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0154, | |
| "step": 29 | |
| }, | |
| { | |
| "epoch": 17.142857142857142, | |
| "grad_norm": 0.1997860223054886, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0003, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 17.142857142857142, | |
| "eval_loss": 0.009444376453757286, | |
| "eval_runtime": 1.1094, | |
| "eval_samples_per_second": 6.309, | |
| "eval_steps_per_second": 6.309, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 18.0, | |
| "grad_norm": 0.1997860223054886, | |
| "learning_rate": 0.0002, | |
| "loss": 0.008, | |
| "step": 31 | |
| }, | |
| { | |
| "epoch": 18.285714285714285, | |
| "grad_norm": 0.17780642211437225, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0003, | |
| "step": 32 | |
| }, | |
| { | |
| "epoch": 19.0, | |
| "grad_norm": 0.17780642211437225, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0024, | |
| "step": 33 | |
| }, | |
| { | |
| "epoch": 19.428571428571427, | |
| "grad_norm": 0.09276885539293289, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0016, | |
| "step": 34 | |
| }, | |
| { | |
| "epoch": 20.0, | |
| "grad_norm": 0.09276885539293289, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0008, | |
| "step": 35 | |
| }, | |
| { | |
| "epoch": 20.571428571428573, | |
| "grad_norm": 0.03949622064828873, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0004, | |
| "step": 36 | |
| }, | |
| { | |
| "epoch": 21.0, | |
| "grad_norm": 0.03949622064828873, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0026, | |
| "step": 37 | |
| }, | |
| { | |
| "epoch": 21.714285714285715, | |
| "grad_norm": 0.48974359035491943, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0027, | |
| "step": 38 | |
| }, | |
| { | |
| "epoch": 22.0, | |
| "grad_norm": 0.48974359035491943, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0001, | |
| "step": 39 | |
| }, | |
| { | |
| "epoch": 22.857142857142858, | |
| "grad_norm": 0.037879057228565216, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0008, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 22.857142857142858, | |
| "eval_loss": 0.0010270120110362768, | |
| "eval_runtime": 1.107, | |
| "eval_samples_per_second": 6.323, | |
| "eval_steps_per_second": 6.323, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 23.0, | |
| "grad_norm": 0.037879057228565216, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0, | |
| "step": 41 | |
| }, | |
| { | |
| "epoch": 24.0, | |
| "grad_norm": 0.07712631672620773, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0009, | |
| "step": 42 | |
| }, | |
| { | |
| "epoch": 25.0, | |
| "grad_norm": 0.07712631672620773, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0006, | |
| "step": 43 | |
| }, | |
| { | |
| "epoch": 25.142857142857142, | |
| "grad_norm": 0.03069213591516018, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0, | |
| "step": 44 | |
| }, | |
| { | |
| "epoch": 26.0, | |
| "grad_norm": 0.03069213591516018, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0005, | |
| "step": 45 | |
| }, | |
| { | |
| "epoch": 26.285714285714285, | |
| "grad_norm": 0.04276096820831299, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0002, | |
| "step": 46 | |
| }, | |
| { | |
| "epoch": 27.0, | |
| "grad_norm": 0.04276096820831299, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0003, | |
| "step": 47 | |
| }, | |
| { | |
| "epoch": 27.428571428571427, | |
| "grad_norm": 0.018633099272847176, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0001, | |
| "step": 48 | |
| }, | |
| { | |
| "epoch": 28.0, | |
| "grad_norm": 0.018633099272847176, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0004, | |
| "step": 49 | |
| }, | |
| { | |
| "epoch": 28.571428571428573, | |
| "grad_norm": 0.05017812177538872, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0003, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 28.571428571428573, | |
| "eval_loss": 0.00034485122887417674, | |
| "eval_runtime": 1.12, | |
| "eval_samples_per_second": 6.25, | |
| "eval_steps_per_second": 6.25, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 29.0, | |
| "grad_norm": 0.05017812177538872, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0001, | |
| "step": 51 | |
| }, | |
| { | |
| "epoch": 29.714285714285715, | |
| "grad_norm": 0.010933789424598217, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0002, | |
| "step": 52 | |
| }, | |
| { | |
| "epoch": 30.0, | |
| "grad_norm": 0.010933789424598217, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0001, | |
| "step": 53 | |
| }, | |
| { | |
| "epoch": 30.857142857142858, | |
| "grad_norm": 0.00900160800665617, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0002, | |
| "step": 54 | |
| }, | |
| { | |
| "epoch": 31.0, | |
| "grad_norm": 0.00900160800665617, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0, | |
| "step": 55 | |
| }, | |
| { | |
| "epoch": 32.0, | |
| "grad_norm": 0.018903745338320732, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0003, | |
| "step": 56 | |
| }, | |
| { | |
| "epoch": 33.0, | |
| "grad_norm": 0.018903745338320732, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0002, | |
| "step": 57 | |
| }, | |
| { | |
| "epoch": 33.142857142857146, | |
| "grad_norm": 0.01036656741052866, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0, | |
| "step": 58 | |
| }, | |
| { | |
| "epoch": 34.0, | |
| "grad_norm": 0.01036656741052866, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0002, | |
| "step": 59 | |
| }, | |
| { | |
| "epoch": 34.285714285714285, | |
| "grad_norm": 0.007697099819779396, | |
| "learning_rate": 0.0002, | |
| "loss": 0.0, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 34.285714285714285, | |
| "eval_loss": 0.00019181256357114762, | |
| "eval_runtime": 1.1116, | |
| "eval_samples_per_second": 6.297, | |
| "eval_steps_per_second": 6.297, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 34.285714285714285, | |
| "step": 60, | |
| "total_flos": 4016214881861632.0, | |
| "train_loss": 0.1552126432957569, | |
| "train_runtime": 117.5216, | |
| "train_samples_per_second": 4.084, | |
| "train_steps_per_second": 0.511 | |
| } | |
| ], | |
| "logging_steps": 1.0, | |
| "max_steps": 60, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 60, | |
| "save_steps": 1000, | |
| "total_flos": 4016214881861632.0, | |
| "train_batch_size": 1, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |