Instructions to use phungkhaccuong/003a17bd-999b-df7b-8f1c-ae6ee5673233 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use phungkhaccuong/003a17bd-999b-df7b-8f1c-ae6ee5673233 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("MLP-KTLim/llama-3-Korean-Bllossom-8B") model = PeftModel.from_pretrained(base_model, "phungkhaccuong/003a17bd-999b-df7b-8f1c-ae6ee5673233") - Notebooks
- Google Colab
- Kaggle
File size: 3,711 Bytes
bf1630d fc82f8a dbdaada fc82f8a bf1630d dbdaada bf1630d dbdaada df03a34 59b9652 fc82f8a bf1630d dbdaada bf1630d dbdaada bf1630d fc82f8a bf1630d fc82f8a bf1630d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 | {
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 0.13850415512465375,
"eval_steps": 10,
"global_step": 50,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.002770083102493075,
"eval_loss": 0.8790126442909241,
"eval_runtime": 11.2362,
"eval_samples_per_second": 13.617,
"eval_steps_per_second": 6.853,
"step": 1
},
{
"epoch": 0.013850415512465374,
"grad_norm": 0.5528757572174072,
"learning_rate": 5e-05,
"loss": 0.8437,
"step": 5
},
{
"epoch": 0.027700831024930747,
"grad_norm": 0.7231165766716003,
"learning_rate": 0.0001,
"loss": 0.8243,
"step": 10
},
{
"epoch": 0.027700831024930747,
"eval_loss": 0.8458106517791748,
"eval_runtime": 11.376,
"eval_samples_per_second": 13.449,
"eval_steps_per_second": 6.769,
"step": 10
},
{
"epoch": 0.04155124653739612,
"grad_norm": 0.6403104662895203,
"learning_rate": 9.619397662556435e-05,
"loss": 0.6981,
"step": 15
},
{
"epoch": 0.055401662049861494,
"grad_norm": 0.5902954339981079,
"learning_rate": 8.535533905932738e-05,
"loss": 0.6614,
"step": 20
},
{
"epoch": 0.055401662049861494,
"eval_loss": 0.763834536075592,
"eval_runtime": 11.7356,
"eval_samples_per_second": 13.037,
"eval_steps_per_second": 6.561,
"step": 20
},
{
"epoch": 0.06925207756232687,
"grad_norm": 0.5696752071380615,
"learning_rate": 6.91341716182545e-05,
"loss": 0.6615,
"step": 25
},
{
"epoch": 0.08310249307479224,
"grad_norm": 0.5728344321250916,
"learning_rate": 5e-05,
"loss": 0.7297,
"step": 30
},
{
"epoch": 0.08310249307479224,
"eval_loss": 0.7355851531028748,
"eval_runtime": 11.8476,
"eval_samples_per_second": 12.914,
"eval_steps_per_second": 6.499,
"step": 30
},
{
"epoch": 0.09695290858725762,
"grad_norm": 0.5396150946617126,
"learning_rate": 3.086582838174551e-05,
"loss": 0.658,
"step": 35
},
{
"epoch": 0.11080332409972299,
"grad_norm": 0.5392118096351624,
"learning_rate": 1.4644660940672627e-05,
"loss": 0.6982,
"step": 40
},
{
"epoch": 0.11080332409972299,
"eval_loss": 0.7300357222557068,
"eval_runtime": 11.8185,
"eval_samples_per_second": 12.946,
"eval_steps_per_second": 6.515,
"step": 40
},
{
"epoch": 0.12465373961218837,
"grad_norm": 0.6359060406684875,
"learning_rate": 3.8060233744356633e-06,
"loss": 0.7617,
"step": 45
},
{
"epoch": 0.13850415512465375,
"grad_norm": 0.504328727722168,
"learning_rate": 0.0,
"loss": 0.6836,
"step": 50
},
{
"epoch": 0.13850415512465375,
"eval_loss": 0.7285895347595215,
"eval_runtime": 11.7706,
"eval_samples_per_second": 12.998,
"eval_steps_per_second": 6.542,
"step": 50
}
],
"logging_steps": 5,
"max_steps": 50,
"num_input_tokens_seen": 0,
"num_train_epochs": 1,
"save_steps": 13,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": true
},
"attributes": {}
}
},
"total_flos": 1.109738548887552e+16,
"train_batch_size": 2,
"trial_name": null,
"trial_params": null
}
|