Instructions to use gary2002/output_dir-full_dataset with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gary2002/output_dir-full_dataset with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="gary2002/output_dir-full_dataset") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("gary2002/output_dir-full_dataset") model = AutoModelForImageClassification.from_pretrained("gary2002/output_dir-full_dataset") - Notebooks
- Google Colab
- Kaggle
./google-vit-base-patch16-224-in21k-9H
Browse files
all_results.json
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"eval_accuracy": 0.9169753086419753,
|
| 4 |
+
"eval_loss": 0.20968997478485107,
|
| 5 |
+
"eval_runtime": 111.5277,
|
| 6 |
+
"eval_samples_per_second": 29.051,
|
| 7 |
+
"eval_steps_per_second": 7.263,
|
| 8 |
+
"total_flos": 6.779424557667041e+18,
|
| 9 |
+
"train_loss": 1.086526616065536,
|
| 10 |
+
"train_runtime": 4256.354,
|
| 11 |
+
"train_samples_per_second": 20.553,
|
| 12 |
+
"train_steps_per_second": 2.055
|
| 13 |
+
}
|
eval_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"eval_accuracy": 0.9169753086419753,
|
| 4 |
+
"eval_loss": 0.20968997478485107,
|
| 5 |
+
"eval_runtime": 111.5277,
|
| 6 |
+
"eval_samples_per_second": 29.051,
|
| 7 |
+
"eval_steps_per_second": 7.263
|
| 8 |
+
}
|
runs/Mar21_05-30-31_91386b7835d7/events.out.tfevents.1711003565.91386b7835d7.1965.2
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9024a7e0724883b134089554401537f995e81124b347a55ae3ed069035af7750
|
| 3 |
+
size 411
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"total_flos": 6.779424557667041e+18,
|
| 4 |
+
"train_loss": 1.086526616065536,
|
| 5 |
+
"train_runtime": 4256.354,
|
| 6 |
+
"train_samples_per_second": 20.553,
|
| 7 |
+
"train_steps_per_second": 2.055
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,176 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.9169753086419753,
|
| 3 |
+
"best_model_checkpoint": "/content/drive/MyDrive/graduate_design/ViT_train_pictures/output_dir-full_dataset/checkpoint-8748",
|
| 4 |
+
"epoch": 3.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 8748,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.17,
|
| 13 |
+
"grad_norm": 0.8087803721427917,
|
| 14 |
+
"learning_rate": 0.00018856881572930955,
|
| 15 |
+
"loss": 2.2007,
|
| 16 |
+
"step": 500
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.34,
|
| 20 |
+
"grad_norm": 0.5222867131233215,
|
| 21 |
+
"learning_rate": 0.00017716049382716052,
|
| 22 |
+
"loss": 2.2033,
|
| 23 |
+
"step": 1000
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.51,
|
| 27 |
+
"grad_norm": 0.728941023349762,
|
| 28 |
+
"learning_rate": 0.00016572930955647007,
|
| 29 |
+
"loss": 2.1961,
|
| 30 |
+
"step": 1500
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.69,
|
| 34 |
+
"grad_norm": 0.4614827632904053,
|
| 35 |
+
"learning_rate": 0.0001542981252857796,
|
| 36 |
+
"loss": 2.198,
|
| 37 |
+
"step": 2000
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.86,
|
| 41 |
+
"grad_norm": 0.6945221424102783,
|
| 42 |
+
"learning_rate": 0.00014286694101508919,
|
| 43 |
+
"loss": 2.1689,
|
| 44 |
+
"step": 2500
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 1.0,
|
| 48 |
+
"eval_accuracy": 0.3398148148148148,
|
| 49 |
+
"eval_loss": 1.592108130455017,
|
| 50 |
+
"eval_runtime": 114.0279,
|
| 51 |
+
"eval_samples_per_second": 28.414,
|
| 52 |
+
"eval_steps_per_second": 7.104,
|
| 53 |
+
"step": 2916
|
| 54 |
+
},
|
| 55 |
+
{
|
| 56 |
+
"epoch": 1.03,
|
| 57 |
+
"grad_norm": 2.6183340549468994,
|
| 58 |
+
"learning_rate": 0.0001314586191129401,
|
| 59 |
+
"loss": 1.7575,
|
| 60 |
+
"step": 3000
|
| 61 |
+
},
|
| 62 |
+
{
|
| 63 |
+
"epoch": 1.2,
|
| 64 |
+
"grad_norm": 3.532482147216797,
|
| 65 |
+
"learning_rate": 0.00012002743484224966,
|
| 66 |
+
"loss": 1.2952,
|
| 67 |
+
"step": 3500
|
| 68 |
+
},
|
| 69 |
+
{
|
| 70 |
+
"epoch": 1.37,
|
| 71 |
+
"grad_norm": 3.6780481338500977,
|
| 72 |
+
"learning_rate": 0.00010859625057155922,
|
| 73 |
+
"loss": 1.0195,
|
| 74 |
+
"step": 4000
|
| 75 |
+
},
|
| 76 |
+
{
|
| 77 |
+
"epoch": 1.54,
|
| 78 |
+
"grad_norm": 5.143928050994873,
|
| 79 |
+
"learning_rate": 9.716506630086878e-05,
|
| 80 |
+
"loss": 0.7956,
|
| 81 |
+
"step": 4500
|
| 82 |
+
},
|
| 83 |
+
{
|
| 84 |
+
"epoch": 1.71,
|
| 85 |
+
"grad_norm": 10.191193580627441,
|
| 86 |
+
"learning_rate": 8.575674439871972e-05,
|
| 87 |
+
"loss": 0.6654,
|
| 88 |
+
"step": 5000
|
| 89 |
+
},
|
| 90 |
+
{
|
| 91 |
+
"epoch": 1.89,
|
| 92 |
+
"grad_norm": 6.73974609375,
|
| 93 |
+
"learning_rate": 7.432556012802928e-05,
|
| 94 |
+
"loss": 0.5282,
|
| 95 |
+
"step": 5500
|
| 96 |
+
},
|
| 97 |
+
{
|
| 98 |
+
"epoch": 2.0,
|
| 99 |
+
"eval_accuracy": 0.8296296296296296,
|
| 100 |
+
"eval_loss": 0.4584006369113922,
|
| 101 |
+
"eval_runtime": 108.7745,
|
| 102 |
+
"eval_samples_per_second": 29.786,
|
| 103 |
+
"eval_steps_per_second": 7.447,
|
| 104 |
+
"step": 5832
|
| 105 |
+
},
|
| 106 |
+
{
|
| 107 |
+
"epoch": 2.06,
|
| 108 |
+
"grad_norm": 6.977649211883545,
|
| 109 |
+
"learning_rate": 6.294010059442158e-05,
|
| 110 |
+
"loss": 0.4526,
|
| 111 |
+
"step": 6000
|
| 112 |
+
},
|
| 113 |
+
{
|
| 114 |
+
"epoch": 2.23,
|
| 115 |
+
"grad_norm": 6.755834579467773,
|
| 116 |
+
"learning_rate": 5.1508916323731135e-05,
|
| 117 |
+
"loss": 0.3721,
|
| 118 |
+
"step": 6500
|
| 119 |
+
},
|
| 120 |
+
{
|
| 121 |
+
"epoch": 2.4,
|
| 122 |
+
"grad_norm": 1.0103096961975098,
|
| 123 |
+
"learning_rate": 4.007773205304069e-05,
|
| 124 |
+
"loss": 0.3228,
|
| 125 |
+
"step": 7000
|
| 126 |
+
},
|
| 127 |
+
{
|
| 128 |
+
"epoch": 2.57,
|
| 129 |
+
"grad_norm": 0.03946676105260849,
|
| 130 |
+
"learning_rate": 2.864654778235025e-05,
|
| 131 |
+
"loss": 0.28,
|
| 132 |
+
"step": 7500
|
| 133 |
+
},
|
| 134 |
+
{
|
| 135 |
+
"epoch": 2.74,
|
| 136 |
+
"grad_norm": 0.23168502748012543,
|
| 137 |
+
"learning_rate": 1.721536351165981e-05,
|
| 138 |
+
"loss": 0.2356,
|
| 139 |
+
"step": 8000
|
| 140 |
+
},
|
| 141 |
+
{
|
| 142 |
+
"epoch": 2.91,
|
| 143 |
+
"grad_norm": 4.113630771636963,
|
| 144 |
+
"learning_rate": 5.807041609510746e-06,
|
| 145 |
+
"loss": 0.2224,
|
| 146 |
+
"step": 8500
|
| 147 |
+
},
|
| 148 |
+
{
|
| 149 |
+
"epoch": 3.0,
|
| 150 |
+
"eval_accuracy": 0.9169753086419753,
|
| 151 |
+
"eval_loss": 0.20968997478485107,
|
| 152 |
+
"eval_runtime": 114.304,
|
| 153 |
+
"eval_samples_per_second": 28.345,
|
| 154 |
+
"eval_steps_per_second": 7.086,
|
| 155 |
+
"step": 8748
|
| 156 |
+
},
|
| 157 |
+
{
|
| 158 |
+
"epoch": 3.0,
|
| 159 |
+
"step": 8748,
|
| 160 |
+
"total_flos": 6.779424557667041e+18,
|
| 161 |
+
"train_loss": 1.086526616065536,
|
| 162 |
+
"train_runtime": 4256.354,
|
| 163 |
+
"train_samples_per_second": 20.553,
|
| 164 |
+
"train_steps_per_second": 2.055
|
| 165 |
+
}
|
| 166 |
+
],
|
| 167 |
+
"logging_steps": 500,
|
| 168 |
+
"max_steps": 8748,
|
| 169 |
+
"num_input_tokens_seen": 0,
|
| 170 |
+
"num_train_epochs": 3,
|
| 171 |
+
"save_steps": 500,
|
| 172 |
+
"total_flos": 6.779424557667041e+18,
|
| 173 |
+
"train_batch_size": 10,
|
| 174 |
+
"trial_name": null,
|
| 175 |
+
"trial_params": null
|
| 176 |
+
}
|