End of training
Browse files- README.md +26 -24
- all_results.json +60 -0
- eval_results.json +29 -0
- test_results.json +29 -0
- train_results.json +8 -0
- trainer_state.json +0 -0
README.md
CHANGED
|
@@ -1,6 +1,8 @@
|
|
| 1 |
---
|
| 2 |
base_model: jozhang97/deta-resnet-50
|
| 3 |
tags:
|
|
|
|
|
|
|
| 4 |
- generated_from_trainer
|
| 5 |
model-index:
|
| 6 |
- name: jozhang97-deta-resnet-50-finetuned-10k-cppe5-auto-pad
|
|
@@ -13,31 +15,31 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 13 |
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/qubvel-hf-co/transformers-detection-model-finetuning-cppe5/runs/pw3c0sr5)
|
| 14 |
# jozhang97-deta-resnet-50-finetuned-10k-cppe5-auto-pad
|
| 15 |
|
| 16 |
-
This model is a fine-tuned version of [jozhang97/deta-resnet-50](https://huggingface.co/jozhang97/deta-resnet-50) on
|
| 17 |
It achieves the following results on the evaluation set:
|
| 18 |
-
- Loss: 1.
|
| 19 |
-
- Map: 0.
|
| 20 |
-
- Map 50: 0.
|
| 21 |
-
- Map 75: 0.
|
| 22 |
-
- Map Small: 0.
|
| 23 |
-
- Map Medium: 0.
|
| 24 |
-
- Map Large: 0.
|
| 25 |
-
- Mar 1: 0.
|
| 26 |
-
- Mar 10: 0.
|
| 27 |
-
- Mar 100: 0.
|
| 28 |
-
- Mar Small: 0.
|
| 29 |
-
- Mar Medium: 0.
|
| 30 |
-
- Mar Large: 0.
|
| 31 |
-
- Map Coverall: 0.
|
| 32 |
-
- Mar 100 Coverall: 0.
|
| 33 |
-
- Map Face Shield: 0.
|
| 34 |
-
- Mar 100 Face Shield: 0.
|
| 35 |
-
- Map Gloves: 0.
|
| 36 |
-
- Mar 100 Gloves: 0.
|
| 37 |
-
- Map Goggles: 0.
|
| 38 |
-
- Mar 100 Goggles: 0.
|
| 39 |
-
- Map Mask: 0.
|
| 40 |
-
- Mar 100 Mask: 0.
|
| 41 |
|
| 42 |
## Model description
|
| 43 |
|
|
|
|
| 1 |
---
|
| 2 |
base_model: jozhang97/deta-resnet-50
|
| 3 |
tags:
|
| 4 |
+
- object-detection
|
| 5 |
+
- vision
|
| 6 |
- generated_from_trainer
|
| 7 |
model-index:
|
| 8 |
- name: jozhang97-deta-resnet-50-finetuned-10k-cppe5-auto-pad
|
|
|
|
| 15 |
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/qubvel-hf-co/transformers-detection-model-finetuning-cppe5/runs/pw3c0sr5)
|
| 16 |
# jozhang97-deta-resnet-50-finetuned-10k-cppe5-auto-pad
|
| 17 |
|
| 18 |
+
This model is a fine-tuned version of [jozhang97/deta-resnet-50](https://huggingface.co/jozhang97/deta-resnet-50) on the cppe-5 dataset.
|
| 19 |
It achieves the following results on the evaluation set:
|
| 20 |
+
- Loss: 1.6197
|
| 21 |
+
- Map: 0.1981
|
| 22 |
+
- Map 50: 0.434
|
| 23 |
+
- Map 75: 0.1623
|
| 24 |
+
- Map Small: 0.0801
|
| 25 |
+
- Map Medium: 0.1333
|
| 26 |
+
- Map Large: 0.3217
|
| 27 |
+
- Mar 1: 0.2118
|
| 28 |
+
- Mar 10: 0.3156
|
| 29 |
+
- Mar 100: 0.3333
|
| 30 |
+
- Mar Small: 0.1156
|
| 31 |
+
- Mar Medium: 0.2789
|
| 32 |
+
- Mar Large: 0.5084
|
| 33 |
+
- Map Coverall: 0.4266
|
| 34 |
+
- Mar 100 Coverall: 0.5446
|
| 35 |
+
- Map Face Shield: 0.2284
|
| 36 |
+
- Mar 100 Face Shield: 0.3658
|
| 37 |
+
- Map Gloves: 0.0771
|
| 38 |
+
- Mar 100 Gloves: 0.2098
|
| 39 |
+
- Map Goggles: 0.1232
|
| 40 |
+
- Mar 100 Goggles: 0.2477
|
| 41 |
+
- Map Mask: 0.1352
|
| 42 |
+
- Mar 100 Mask: 0.2987
|
| 43 |
|
| 44 |
## Model description
|
| 45 |
|
all_results.json
ADDED
|
@@ -0,0 +1,60 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 99.53051643192488,
|
| 3 |
+
"eval_loss": 1.6197102069854736,
|
| 4 |
+
"eval_map": 0.1981,
|
| 5 |
+
"eval_map_50": 0.434,
|
| 6 |
+
"eval_map_75": 0.1623,
|
| 7 |
+
"eval_map_Coverall": 0.4266,
|
| 8 |
+
"eval_map_Face_Shield": 0.2284,
|
| 9 |
+
"eval_map_Gloves": 0.0771,
|
| 10 |
+
"eval_map_Goggles": 0.1232,
|
| 11 |
+
"eval_map_Mask": 0.1352,
|
| 12 |
+
"eval_map_large": 0.3217,
|
| 13 |
+
"eval_map_medium": 0.1333,
|
| 14 |
+
"eval_map_small": 0.0801,
|
| 15 |
+
"eval_mar_1": 0.2118,
|
| 16 |
+
"eval_mar_10": 0.3156,
|
| 17 |
+
"eval_mar_100": 0.3333,
|
| 18 |
+
"eval_mar_100_Coverall": 0.5446,
|
| 19 |
+
"eval_mar_100_Face_Shield": 0.3658,
|
| 20 |
+
"eval_mar_100_Gloves": 0.2098,
|
| 21 |
+
"eval_mar_100_Goggles": 0.2477,
|
| 22 |
+
"eval_mar_100_Mask": 0.2987,
|
| 23 |
+
"eval_mar_large": 0.5084,
|
| 24 |
+
"eval_mar_medium": 0.2789,
|
| 25 |
+
"eval_mar_small": 0.1156,
|
| 26 |
+
"eval_runtime": 21.4083,
|
| 27 |
+
"eval_samples_per_second": 7.007,
|
| 28 |
+
"eval_steps_per_second": 0.888,
|
| 29 |
+
"test_loss": 1.6902095079421997,
|
| 30 |
+
"test_map": 0.264,
|
| 31 |
+
"test_map_50": 0.559,
|
| 32 |
+
"test_map_75": 0.2055,
|
| 33 |
+
"test_map_Coverall": 0.4752,
|
| 34 |
+
"test_map_Face_Shield": 0.4395,
|
| 35 |
+
"test_map_Gloves": 0.0822,
|
| 36 |
+
"test_map_Goggles": 0.1197,
|
| 37 |
+
"test_map_Mask": 0.2037,
|
| 38 |
+
"test_map_large": 0.3582,
|
| 39 |
+
"test_map_medium": 0.1795,
|
| 40 |
+
"test_map_small": 0.2979,
|
| 41 |
+
"test_mar_1": 0.2365,
|
| 42 |
+
"test_mar_10": 0.3811,
|
| 43 |
+
"test_mar_100": 0.4012,
|
| 44 |
+
"test_mar_100_Coverall": 0.5689,
|
| 45 |
+
"test_mar_100_Face_Shield": 0.5882,
|
| 46 |
+
"test_mar_100_Gloves": 0.2295,
|
| 47 |
+
"test_mar_100_Goggles": 0.2656,
|
| 48 |
+
"test_mar_100_Mask": 0.3538,
|
| 49 |
+
"test_mar_large": 0.5382,
|
| 50 |
+
"test_mar_medium": 0.3294,
|
| 51 |
+
"test_mar_small": 0.3411,
|
| 52 |
+
"test_runtime": 4.6886,
|
| 53 |
+
"test_samples_per_second": 6.185,
|
| 54 |
+
"test_steps_per_second": 0.853,
|
| 55 |
+
"total_flos": 2.4566240955078824e+19,
|
| 56 |
+
"train_loss": 1.7565026848271208,
|
| 57 |
+
"train_runtime": 21477.6558,
|
| 58 |
+
"train_samples_per_second": 3.958,
|
| 59 |
+
"train_steps_per_second": 0.494
|
| 60 |
+
}
|
eval_results.json
ADDED
|
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 99.53051643192488,
|
| 3 |
+
"eval_loss": 1.6197102069854736,
|
| 4 |
+
"eval_map": 0.1981,
|
| 5 |
+
"eval_map_50": 0.434,
|
| 6 |
+
"eval_map_75": 0.1623,
|
| 7 |
+
"eval_map_Coverall": 0.4266,
|
| 8 |
+
"eval_map_Face_Shield": 0.2284,
|
| 9 |
+
"eval_map_Gloves": 0.0771,
|
| 10 |
+
"eval_map_Goggles": 0.1232,
|
| 11 |
+
"eval_map_Mask": 0.1352,
|
| 12 |
+
"eval_map_large": 0.3217,
|
| 13 |
+
"eval_map_medium": 0.1333,
|
| 14 |
+
"eval_map_small": 0.0801,
|
| 15 |
+
"eval_mar_1": 0.2118,
|
| 16 |
+
"eval_mar_10": 0.3156,
|
| 17 |
+
"eval_mar_100": 0.3333,
|
| 18 |
+
"eval_mar_100_Coverall": 0.5446,
|
| 19 |
+
"eval_mar_100_Face_Shield": 0.3658,
|
| 20 |
+
"eval_mar_100_Gloves": 0.2098,
|
| 21 |
+
"eval_mar_100_Goggles": 0.2477,
|
| 22 |
+
"eval_mar_100_Mask": 0.2987,
|
| 23 |
+
"eval_mar_large": 0.5084,
|
| 24 |
+
"eval_mar_medium": 0.2789,
|
| 25 |
+
"eval_mar_small": 0.1156,
|
| 26 |
+
"eval_runtime": 21.4083,
|
| 27 |
+
"eval_samples_per_second": 7.007,
|
| 28 |
+
"eval_steps_per_second": 0.888
|
| 29 |
+
}
|
test_results.json
ADDED
|
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 99.53051643192488,
|
| 3 |
+
"test_loss": 1.6902095079421997,
|
| 4 |
+
"test_map": 0.264,
|
| 5 |
+
"test_map_50": 0.559,
|
| 6 |
+
"test_map_75": 0.2055,
|
| 7 |
+
"test_map_Coverall": 0.4752,
|
| 8 |
+
"test_map_Face_Shield": 0.4395,
|
| 9 |
+
"test_map_Gloves": 0.0822,
|
| 10 |
+
"test_map_Goggles": 0.1197,
|
| 11 |
+
"test_map_Mask": 0.2037,
|
| 12 |
+
"test_map_large": 0.3582,
|
| 13 |
+
"test_map_medium": 0.1795,
|
| 14 |
+
"test_map_small": 0.2979,
|
| 15 |
+
"test_mar_1": 0.2365,
|
| 16 |
+
"test_mar_10": 0.3811,
|
| 17 |
+
"test_mar_100": 0.4012,
|
| 18 |
+
"test_mar_100_Coverall": 0.5689,
|
| 19 |
+
"test_mar_100_Face_Shield": 0.5882,
|
| 20 |
+
"test_mar_100_Gloves": 0.2295,
|
| 21 |
+
"test_mar_100_Goggles": 0.2656,
|
| 22 |
+
"test_mar_100_Mask": 0.3538,
|
| 23 |
+
"test_mar_large": 0.5382,
|
| 24 |
+
"test_mar_medium": 0.3294,
|
| 25 |
+
"test_mar_small": 0.3411,
|
| 26 |
+
"test_runtime": 4.6886,
|
| 27 |
+
"test_samples_per_second": 6.185,
|
| 28 |
+
"test_steps_per_second": 0.853
|
| 29 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 99.53051643192488,
|
| 3 |
+
"total_flos": 2.4566240955078824e+19,
|
| 4 |
+
"train_loss": 1.7565026848271208,
|
| 5 |
+
"train_runtime": 21477.6558,
|
| 6 |
+
"train_samples_per_second": 3.958,
|
| 7 |
+
"train_steps_per_second": 0.494
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|