End of training
Browse files- README.md +4 -1
- all_results.json +28 -0
- runs/Mar16_15-40-15_dcc3090/events.out.tfevents.1742169921.dcc3090.2993369.1 +3 -0
- test_results.json +23 -0
- train_results.json +8 -0
- trainer_state.json +353 -0
README.md
CHANGED
|
@@ -3,6 +3,9 @@ library_name: transformers
|
|
| 3 |
license: other
|
| 4 |
base_model: facebook/mask2former-swin-tiny-coco-instance
|
| 5 |
tags:
|
|
|
|
|
|
|
|
|
|
| 6 |
- generated_from_trainer
|
| 7 |
model-index:
|
| 8 |
- name: finetune-instance-segmentation-ade20k-mini-mask2former_augmentation
|
|
@@ -14,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 14 |
|
| 15 |
# finetune-instance-segmentation-ade20k-mini-mask2former_augmentation
|
| 16 |
|
| 17 |
-
This model is a fine-tuned version of [facebook/mask2former-swin-tiny-coco-instance](https://huggingface.co/facebook/mask2former-swin-tiny-coco-instance) on
|
| 18 |
It achieves the following results on the evaluation set:
|
| 19 |
- Loss: 21.8491
|
| 20 |
- Map: 0.2024
|
|
|
|
| 3 |
license: other
|
| 4 |
base_model: facebook/mask2former-swin-tiny-coco-instance
|
| 5 |
tags:
|
| 6 |
+
- image-segmentation
|
| 7 |
+
- instance-segmentation
|
| 8 |
+
- vision
|
| 9 |
- generated_from_trainer
|
| 10 |
model-index:
|
| 11 |
- name: finetune-instance-segmentation-ade20k-mini-mask2former_augmentation
|
|
|
|
| 17 |
|
| 18 |
# finetune-instance-segmentation-ade20k-mini-mask2former_augmentation
|
| 19 |
|
| 20 |
+
This model is a fine-tuned version of [facebook/mask2former-swin-tiny-coco-instance](https://huggingface.co/facebook/mask2former-swin-tiny-coco-instance) on the yeray142/kitti-mots-instance dataset.
|
| 21 |
It achieves the following results on the evaluation set:
|
| 22 |
- Loss: 21.8491
|
| 23 |
- Map: 0.2024
|
all_results.json
ADDED
|
@@ -0,0 +1,28 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 9.9697933227345,
|
| 3 |
+
"test_loss": 21.856794357299805,
|
| 4 |
+
"test_map": 0.2024,
|
| 5 |
+
"test_map_50": 0.3976,
|
| 6 |
+
"test_map_75": 0.1846,
|
| 7 |
+
"test_map_car": 0.3761,
|
| 8 |
+
"test_map_large": 0.9371,
|
| 9 |
+
"test_map_medium": 0.4171,
|
| 10 |
+
"test_map_person": 0.0288,
|
| 11 |
+
"test_map_small": 0.1131,
|
| 12 |
+
"test_mar_1": 0.098,
|
| 13 |
+
"test_mar_10": 0.2621,
|
| 14 |
+
"test_mar_100": 0.3113,
|
| 15 |
+
"test_mar_100_car": 0.5206,
|
| 16 |
+
"test_mar_100_person": 0.102,
|
| 17 |
+
"test_mar_large": 0.9545,
|
| 18 |
+
"test_mar_medium": 0.5068,
|
| 19 |
+
"test_mar_small": 0.2456,
|
| 20 |
+
"test_runtime": 2166.4492,
|
| 21 |
+
"test_samples_per_second": 1.376,
|
| 22 |
+
"test_steps_per_second": 0.172,
|
| 23 |
+
"total_flos": 5.249371936187105e+18,
|
| 24 |
+
"train_loss": 23.158433114798964,
|
| 25 |
+
"train_runtime": 31718.6696,
|
| 26 |
+
"train_samples_per_second": 1.585,
|
| 27 |
+
"train_steps_per_second": 0.099
|
| 28 |
+
}
|
runs/Mar16_15-40-15_dcc3090/events.out.tfevents.1742169921.dcc3090.2993369.1
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:85c927ad3f3a6b07ef49a54e197569c2e301578e264fe88ad7826c362bc45514
|
| 3 |
+
size 1194
|
test_results.json
ADDED
|
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 9.9697933227345,
|
| 3 |
+
"test_loss": 21.856794357299805,
|
| 4 |
+
"test_map": 0.2024,
|
| 5 |
+
"test_map_50": 0.3976,
|
| 6 |
+
"test_map_75": 0.1846,
|
| 7 |
+
"test_map_car": 0.3761,
|
| 8 |
+
"test_map_large": 0.9371,
|
| 9 |
+
"test_map_medium": 0.4171,
|
| 10 |
+
"test_map_person": 0.0288,
|
| 11 |
+
"test_map_small": 0.1131,
|
| 12 |
+
"test_mar_1": 0.098,
|
| 13 |
+
"test_mar_10": 0.2621,
|
| 14 |
+
"test_mar_100": 0.3113,
|
| 15 |
+
"test_mar_100_car": 0.5206,
|
| 16 |
+
"test_mar_100_person": 0.102,
|
| 17 |
+
"test_mar_large": 0.9545,
|
| 18 |
+
"test_mar_medium": 0.5068,
|
| 19 |
+
"test_mar_small": 0.2456,
|
| 20 |
+
"test_runtime": 2166.4492,
|
| 21 |
+
"test_samples_per_second": 1.376,
|
| 22 |
+
"test_steps_per_second": 0.172
|
| 23 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 9.9697933227345,
|
| 3 |
+
"total_flos": 5.249371936187105e+18,
|
| 4 |
+
"train_loss": 23.158433114798964,
|
| 5 |
+
"train_runtime": 31718.6696,
|
| 6 |
+
"train_samples_per_second": 1.585,
|
| 7 |
+
"train_steps_per_second": 0.099
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,353 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 9.9697933227345,
|
| 6 |
+
"eval_steps": 500,
|
| 7 |
+
"global_step": 3140,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 1.0,
|
| 14 |
+
"grad_norm": 112.57828521728516,
|
| 15 |
+
"learning_rate": 1e-05,
|
| 16 |
+
"loss": 32.1236,
|
| 17 |
+
"step": 315
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 1.0,
|
| 21 |
+
"eval_loss": 25.001630783081055,
|
| 22 |
+
"eval_map": 0.172,
|
| 23 |
+
"eval_map_50": 0.3235,
|
| 24 |
+
"eval_map_75": 0.1677,
|
| 25 |
+
"eval_map_car": 0.3376,
|
| 26 |
+
"eval_map_large": 0.8944,
|
| 27 |
+
"eval_map_medium": 0.3483,
|
| 28 |
+
"eval_map_person": 0.0065,
|
| 29 |
+
"eval_map_small": 0.0881,
|
| 30 |
+
"eval_mar_1": 0.0877,
|
| 31 |
+
"eval_mar_10": 0.2218,
|
| 32 |
+
"eval_mar_100": 0.2617,
|
| 33 |
+
"eval_mar_100_car": 0.4775,
|
| 34 |
+
"eval_mar_100_person": 0.0459,
|
| 35 |
+
"eval_mar_large": 0.9347,
|
| 36 |
+
"eval_mar_medium": 0.4549,
|
| 37 |
+
"eval_mar_small": 0.1935,
|
| 38 |
+
"eval_runtime": 2301.478,
|
| 39 |
+
"eval_samples_per_second": 1.295,
|
| 40 |
+
"eval_steps_per_second": 0.162,
|
| 41 |
+
"step": 315
|
| 42 |
+
},
|
| 43 |
+
{
|
| 44 |
+
"epoch": 2.0,
|
| 45 |
+
"grad_norm": 244.69192504882812,
|
| 46 |
+
"learning_rate": 1e-05,
|
| 47 |
+
"loss": 25.8006,
|
| 48 |
+
"step": 630
|
| 49 |
+
},
|
| 50 |
+
{
|
| 51 |
+
"epoch": 2.0,
|
| 52 |
+
"eval_loss": 23.8843936920166,
|
| 53 |
+
"eval_map": 0.1836,
|
| 54 |
+
"eval_map_50": 0.3505,
|
| 55 |
+
"eval_map_75": 0.1708,
|
| 56 |
+
"eval_map_car": 0.3541,
|
| 57 |
+
"eval_map_large": 0.9132,
|
| 58 |
+
"eval_map_medium": 0.3691,
|
| 59 |
+
"eval_map_person": 0.0131,
|
| 60 |
+
"eval_map_small": 0.0973,
|
| 61 |
+
"eval_mar_1": 0.09,
|
| 62 |
+
"eval_mar_10": 0.2324,
|
| 63 |
+
"eval_mar_100": 0.276,
|
| 64 |
+
"eval_mar_100_car": 0.4901,
|
| 65 |
+
"eval_mar_100_person": 0.0619,
|
| 66 |
+
"eval_mar_large": 0.9434,
|
| 67 |
+
"eval_mar_medium": 0.4765,
|
| 68 |
+
"eval_mar_small": 0.2074,
|
| 69 |
+
"eval_runtime": 2182.9105,
|
| 70 |
+
"eval_samples_per_second": 1.366,
|
| 71 |
+
"eval_steps_per_second": 0.171,
|
| 72 |
+
"step": 630
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 3.0,
|
| 76 |
+
"grad_norm": 116.00335693359375,
|
| 77 |
+
"learning_rate": 1e-05,
|
| 78 |
+
"loss": 24.098,
|
| 79 |
+
"step": 945
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 3.0,
|
| 83 |
+
"eval_loss": 23.18219757080078,
|
| 84 |
+
"eval_map": 0.1892,
|
| 85 |
+
"eval_map_50": 0.3583,
|
| 86 |
+
"eval_map_75": 0.1751,
|
| 87 |
+
"eval_map_car": 0.3616,
|
| 88 |
+
"eval_map_large": 0.9297,
|
| 89 |
+
"eval_map_medium": 0.3823,
|
| 90 |
+
"eval_map_person": 0.0168,
|
| 91 |
+
"eval_map_small": 0.0975,
|
| 92 |
+
"eval_mar_1": 0.0904,
|
| 93 |
+
"eval_mar_10": 0.2392,
|
| 94 |
+
"eval_mar_100": 0.283,
|
| 95 |
+
"eval_mar_100_car": 0.4967,
|
| 96 |
+
"eval_mar_100_person": 0.0693,
|
| 97 |
+
"eval_mar_large": 0.9495,
|
| 98 |
+
"eval_mar_medium": 0.4814,
|
| 99 |
+
"eval_mar_small": 0.215,
|
| 100 |
+
"eval_runtime": 2092.4247,
|
| 101 |
+
"eval_samples_per_second": 1.425,
|
| 102 |
+
"eval_steps_per_second": 0.178,
|
| 103 |
+
"step": 945
|
| 104 |
+
},
|
| 105 |
+
{
|
| 106 |
+
"epoch": 4.0,
|
| 107 |
+
"grad_norm": 203.1825714111328,
|
| 108 |
+
"learning_rate": 1e-05,
|
| 109 |
+
"loss": 23.0237,
|
| 110 |
+
"step": 1260
|
| 111 |
+
},
|
| 112 |
+
{
|
| 113 |
+
"epoch": 4.0,
|
| 114 |
+
"eval_loss": 22.712690353393555,
|
| 115 |
+
"eval_map": 0.1913,
|
| 116 |
+
"eval_map_50": 0.3692,
|
| 117 |
+
"eval_map_75": 0.1751,
|
| 118 |
+
"eval_map_car": 0.3635,
|
| 119 |
+
"eval_map_large": 0.9289,
|
| 120 |
+
"eval_map_medium": 0.3846,
|
| 121 |
+
"eval_map_person": 0.0191,
|
| 122 |
+
"eval_map_small": 0.1017,
|
| 123 |
+
"eval_mar_1": 0.0933,
|
| 124 |
+
"eval_mar_10": 0.2437,
|
| 125 |
+
"eval_mar_100": 0.289,
|
| 126 |
+
"eval_mar_100_car": 0.5003,
|
| 127 |
+
"eval_mar_100_person": 0.0778,
|
| 128 |
+
"eval_mar_large": 0.9486,
|
| 129 |
+
"eval_mar_medium": 0.4827,
|
| 130 |
+
"eval_mar_small": 0.2225,
|
| 131 |
+
"eval_runtime": 2068.7659,
|
| 132 |
+
"eval_samples_per_second": 1.441,
|
| 133 |
+
"eval_steps_per_second": 0.18,
|
| 134 |
+
"step": 1260
|
| 135 |
+
},
|
| 136 |
+
{
|
| 137 |
+
"epoch": 5.0,
|
| 138 |
+
"grad_norm": 295.3192443847656,
|
| 139 |
+
"learning_rate": 1e-05,
|
| 140 |
+
"loss": 22.25,
|
| 141 |
+
"step": 1575
|
| 142 |
+
},
|
| 143 |
+
{
|
| 144 |
+
"epoch": 5.0,
|
| 145 |
+
"eval_loss": 22.591793060302734,
|
| 146 |
+
"eval_map": 0.1933,
|
| 147 |
+
"eval_map_50": 0.3765,
|
| 148 |
+
"eval_map_75": 0.1754,
|
| 149 |
+
"eval_map_car": 0.3648,
|
| 150 |
+
"eval_map_large": 0.9267,
|
| 151 |
+
"eval_map_medium": 0.3951,
|
| 152 |
+
"eval_map_person": 0.0218,
|
| 153 |
+
"eval_map_small": 0.1053,
|
| 154 |
+
"eval_mar_1": 0.0934,
|
| 155 |
+
"eval_mar_10": 0.2477,
|
| 156 |
+
"eval_mar_100": 0.2916,
|
| 157 |
+
"eval_mar_100_car": 0.5,
|
| 158 |
+
"eval_mar_100_person": 0.0832,
|
| 159 |
+
"eval_mar_large": 0.9474,
|
| 160 |
+
"eval_mar_medium": 0.4829,
|
| 161 |
+
"eval_mar_small": 0.2253,
|
| 162 |
+
"eval_runtime": 2102.8614,
|
| 163 |
+
"eval_samples_per_second": 1.418,
|
| 164 |
+
"eval_steps_per_second": 0.177,
|
| 165 |
+
"step": 1575
|
| 166 |
+
},
|
| 167 |
+
{
|
| 168 |
+
"epoch": 6.0,
|
| 169 |
+
"grad_norm": 278.1381530761719,
|
| 170 |
+
"learning_rate": 1e-05,
|
| 171 |
+
"loss": 21.7056,
|
| 172 |
+
"step": 1890
|
| 173 |
+
},
|
| 174 |
+
{
|
| 175 |
+
"epoch": 6.0,
|
| 176 |
+
"eval_loss": 21.966611862182617,
|
| 177 |
+
"eval_map": 0.2019,
|
| 178 |
+
"eval_map_50": 0.3913,
|
| 179 |
+
"eval_map_75": 0.1833,
|
| 180 |
+
"eval_map_car": 0.3775,
|
| 181 |
+
"eval_map_large": 0.9311,
|
| 182 |
+
"eval_map_medium": 0.4037,
|
| 183 |
+
"eval_map_person": 0.0263,
|
| 184 |
+
"eval_map_small": 0.1101,
|
| 185 |
+
"eval_mar_1": 0.0965,
|
| 186 |
+
"eval_mar_10": 0.256,
|
| 187 |
+
"eval_mar_100": 0.2998,
|
| 188 |
+
"eval_mar_100_car": 0.5145,
|
| 189 |
+
"eval_mar_100_person": 0.0852,
|
| 190 |
+
"eval_mar_large": 0.9497,
|
| 191 |
+
"eval_mar_medium": 0.4911,
|
| 192 |
+
"eval_mar_small": 0.235,
|
| 193 |
+
"eval_runtime": 2206.8239,
|
| 194 |
+
"eval_samples_per_second": 1.351,
|
| 195 |
+
"eval_steps_per_second": 0.169,
|
| 196 |
+
"step": 1890
|
| 197 |
+
},
|
| 198 |
+
{
|
| 199 |
+
"epoch": 7.0,
|
| 200 |
+
"grad_norm": 256.54266357421875,
|
| 201 |
+
"learning_rate": 1e-05,
|
| 202 |
+
"loss": 21.218,
|
| 203 |
+
"step": 2205
|
| 204 |
+
},
|
| 205 |
+
{
|
| 206 |
+
"epoch": 7.0,
|
| 207 |
+
"eval_loss": 22.137611389160156,
|
| 208 |
+
"eval_map": 0.2002,
|
| 209 |
+
"eval_map_50": 0.3859,
|
| 210 |
+
"eval_map_75": 0.1841,
|
| 211 |
+
"eval_map_car": 0.3751,
|
| 212 |
+
"eval_map_large": 0.9299,
|
| 213 |
+
"eval_map_medium": 0.412,
|
| 214 |
+
"eval_map_person": 0.0254,
|
| 215 |
+
"eval_map_small": 0.1087,
|
| 216 |
+
"eval_mar_1": 0.0974,
|
| 217 |
+
"eval_mar_10": 0.255,
|
| 218 |
+
"eval_mar_100": 0.3003,
|
| 219 |
+
"eval_mar_100_car": 0.5113,
|
| 220 |
+
"eval_mar_100_person": 0.0892,
|
| 221 |
+
"eval_mar_large": 0.9524,
|
| 222 |
+
"eval_mar_medium": 0.5004,
|
| 223 |
+
"eval_mar_small": 0.2331,
|
| 224 |
+
"eval_runtime": 2224.5924,
|
| 225 |
+
"eval_samples_per_second": 1.34,
|
| 226 |
+
"eval_steps_per_second": 0.168,
|
| 227 |
+
"step": 2205
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 8.0,
|
| 231 |
+
"grad_norm": 234.42987060546875,
|
| 232 |
+
"learning_rate": 1e-05,
|
| 233 |
+
"loss": 20.7151,
|
| 234 |
+
"step": 2520
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 8.0,
|
| 238 |
+
"eval_loss": 21.743112564086914,
|
| 239 |
+
"eval_map": 0.2013,
|
| 240 |
+
"eval_map_50": 0.3953,
|
| 241 |
+
"eval_map_75": 0.1819,
|
| 242 |
+
"eval_map_car": 0.375,
|
| 243 |
+
"eval_map_large": 0.9349,
|
| 244 |
+
"eval_map_medium": 0.411,
|
| 245 |
+
"eval_map_person": 0.0277,
|
| 246 |
+
"eval_map_small": 0.1105,
|
| 247 |
+
"eval_mar_1": 0.0973,
|
| 248 |
+
"eval_mar_10": 0.2595,
|
| 249 |
+
"eval_mar_100": 0.3059,
|
| 250 |
+
"eval_mar_100_car": 0.5178,
|
| 251 |
+
"eval_mar_100_person": 0.094,
|
| 252 |
+
"eval_mar_large": 0.9533,
|
| 253 |
+
"eval_mar_medium": 0.5016,
|
| 254 |
+
"eval_mar_small": 0.2401,
|
| 255 |
+
"eval_runtime": 2188.5922,
|
| 256 |
+
"eval_samples_per_second": 1.362,
|
| 257 |
+
"eval_steps_per_second": 0.17,
|
| 258 |
+
"step": 2520
|
| 259 |
+
},
|
| 260 |
+
{
|
| 261 |
+
"epoch": 9.0,
|
| 262 |
+
"grad_norm": 200.98818969726562,
|
| 263 |
+
"learning_rate": 1e-05,
|
| 264 |
+
"loss": 20.4197,
|
| 265 |
+
"step": 2835
|
| 266 |
+
},
|
| 267 |
+
{
|
| 268 |
+
"epoch": 9.0,
|
| 269 |
+
"eval_loss": 21.8546199798584,
|
| 270 |
+
"eval_map": 0.2024,
|
| 271 |
+
"eval_map_50": 0.3925,
|
| 272 |
+
"eval_map_75": 0.184,
|
| 273 |
+
"eval_map_car": 0.3781,
|
| 274 |
+
"eval_map_large": 0.9325,
|
| 275 |
+
"eval_map_medium": 0.4136,
|
| 276 |
+
"eval_map_person": 0.0267,
|
| 277 |
+
"eval_map_small": 0.1112,
|
| 278 |
+
"eval_mar_1": 0.0971,
|
| 279 |
+
"eval_mar_10": 0.2589,
|
| 280 |
+
"eval_mar_100": 0.3044,
|
| 281 |
+
"eval_mar_100_car": 0.5164,
|
| 282 |
+
"eval_mar_100_person": 0.0925,
|
| 283 |
+
"eval_mar_large": 0.9531,
|
| 284 |
+
"eval_mar_medium": 0.4965,
|
| 285 |
+
"eval_mar_small": 0.2387,
|
| 286 |
+
"eval_runtime": 2264.5474,
|
| 287 |
+
"eval_samples_per_second": 1.316,
|
| 288 |
+
"eval_steps_per_second": 0.165,
|
| 289 |
+
"step": 2835
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 9.9697933227345,
|
| 293 |
+
"grad_norm": 1650.528076171875,
|
| 294 |
+
"learning_rate": 1e-05,
|
| 295 |
+
"loss": 20.1339,
|
| 296 |
+
"step": 3140
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 9.9697933227345,
|
| 300 |
+
"eval_loss": 21.84906578063965,
|
| 301 |
+
"eval_map": 0.2024,
|
| 302 |
+
"eval_map_50": 0.3976,
|
| 303 |
+
"eval_map_75": 0.1846,
|
| 304 |
+
"eval_map_car": 0.3761,
|
| 305 |
+
"eval_map_large": 0.9371,
|
| 306 |
+
"eval_map_medium": 0.4171,
|
| 307 |
+
"eval_map_person": 0.0288,
|
| 308 |
+
"eval_map_small": 0.1131,
|
| 309 |
+
"eval_mar_1": 0.098,
|
| 310 |
+
"eval_mar_10": 0.2621,
|
| 311 |
+
"eval_mar_100": 0.3113,
|
| 312 |
+
"eval_mar_100_car": 0.5206,
|
| 313 |
+
"eval_mar_100_person": 0.102,
|
| 314 |
+
"eval_mar_large": 0.9545,
|
| 315 |
+
"eval_mar_medium": 0.5068,
|
| 316 |
+
"eval_mar_small": 0.2456,
|
| 317 |
+
"eval_runtime": 2315.7847,
|
| 318 |
+
"eval_samples_per_second": 1.287,
|
| 319 |
+
"eval_steps_per_second": 0.161,
|
| 320 |
+
"step": 3140
|
| 321 |
+
},
|
| 322 |
+
{
|
| 323 |
+
"epoch": 9.9697933227345,
|
| 324 |
+
"step": 3140,
|
| 325 |
+
"total_flos": 5.249371936187105e+18,
|
| 326 |
+
"train_loss": 23.158433114798964,
|
| 327 |
+
"train_runtime": 31718.6696,
|
| 328 |
+
"train_samples_per_second": 1.585,
|
| 329 |
+
"train_steps_per_second": 0.099
|
| 330 |
+
}
|
| 331 |
+
],
|
| 332 |
+
"logging_steps": 500,
|
| 333 |
+
"max_steps": 3140,
|
| 334 |
+
"num_input_tokens_seen": 0,
|
| 335 |
+
"num_train_epochs": 10,
|
| 336 |
+
"save_steps": 500,
|
| 337 |
+
"stateful_callbacks": {
|
| 338 |
+
"TrainerControl": {
|
| 339 |
+
"args": {
|
| 340 |
+
"should_epoch_stop": false,
|
| 341 |
+
"should_evaluate": false,
|
| 342 |
+
"should_log": false,
|
| 343 |
+
"should_save": true,
|
| 344 |
+
"should_training_stop": true
|
| 345 |
+
},
|
| 346 |
+
"attributes": {}
|
| 347 |
+
}
|
| 348 |
+
},
|
| 349 |
+
"total_flos": 5.249371936187105e+18,
|
| 350 |
+
"train_batch_size": 8,
|
| 351 |
+
"trial_name": null,
|
| 352 |
+
"trial_params": null
|
| 353 |
+
}
|