End of training
Browse files- README.md +4 -2
- all_results.json +29 -29
- test_results.json +26 -26
- train_results.json +3 -3
- trainer_state.json +3 -3
- training_args.bin +1 -1
README.md
CHANGED
|
@@ -2,6 +2,8 @@
|
|
| 2 |
license: apache-2.0
|
| 3 |
base_model: microsoft/conditional-detr-resnet-50
|
| 4 |
tags:
|
|
|
|
|
|
|
| 5 |
- generated_from_trainer
|
| 6 |
model-index:
|
| 7 |
- name: microsoft-conditional-detr-resnet-50-finetuned-10k-cppe5-manual-pad
|
|
@@ -14,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 14 |
[<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/zldi4iq1)
|
| 15 |
# microsoft-conditional-detr-resnet-50-finetuned-10k-cppe5-manual-pad
|
| 16 |
|
| 17 |
-
This model is a fine-tuned version of [microsoft/conditional-detr-resnet-50](https://huggingface.co/microsoft/conditional-detr-resnet-50) on
|
| 18 |
It achieves the following results on the evaluation set:
|
| 19 |
- Loss: 1.3721
|
| 20 |
- Map: 0.3104
|
|
@@ -59,7 +61,7 @@ More information needed
|
|
| 59 |
The following hyperparameters were used during training:
|
| 60 |
- learning_rate: 5e-05
|
| 61 |
- train_batch_size: 8
|
| 62 |
-
- eval_batch_size:
|
| 63 |
- seed: 1337
|
| 64 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 65 |
- lr_scheduler_type: linear
|
|
|
|
| 2 |
license: apache-2.0
|
| 3 |
base_model: microsoft/conditional-detr-resnet-50
|
| 4 |
tags:
|
| 5 |
+
- object-detection
|
| 6 |
+
- vision
|
| 7 |
- generated_from_trainer
|
| 8 |
model-index:
|
| 9 |
- name: microsoft-conditional-detr-resnet-50-finetuned-10k-cppe5-manual-pad
|
|
|
|
| 16 |
[<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/zldi4iq1)
|
| 17 |
# microsoft-conditional-detr-resnet-50-finetuned-10k-cppe5-manual-pad
|
| 18 |
|
| 19 |
+
This model is a fine-tuned version of [microsoft/conditional-detr-resnet-50](https://huggingface.co/microsoft/conditional-detr-resnet-50) on the cppe-5 dataset.
|
| 20 |
It achieves the following results on the evaluation set:
|
| 21 |
- Loss: 1.3721
|
| 22 |
- Map: 0.3104
|
|
|
|
| 61 |
The following hyperparameters were used during training:
|
| 62 |
- learning_rate: 5e-05
|
| 63 |
- train_batch_size: 8
|
| 64 |
+
- eval_batch_size: 1
|
| 65 |
- seed: 1337
|
| 66 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 67 |
- lr_scheduler_type: linear
|
all_results.json
CHANGED
|
@@ -26,35 +26,35 @@
|
|
| 26 |
"eval_runtime": 6.5804,
|
| 27 |
"eval_samples_per_second": 22.795,
|
| 28 |
"eval_steps_per_second": 2.887,
|
| 29 |
-
"test_loss":
|
| 30 |
-
"test_map": 0.
|
| 31 |
-
"test_map_50": 0.
|
| 32 |
-
"test_map_75": 0.
|
| 33 |
-
"test_map_Coverall": 0.
|
| 34 |
-
"test_map_Face_Shield": 0.
|
| 35 |
-
"test_map_Gloves": 0.
|
| 36 |
-
"test_map_Goggles": 0.
|
| 37 |
-
"test_map_Mask": 0.
|
| 38 |
-
"test_map_large": 0.
|
| 39 |
-
"test_map_medium": 0.
|
| 40 |
-
"test_map_small": 0.
|
| 41 |
-
"test_mar_1": 0.
|
| 42 |
-
"test_mar_10": 0.
|
| 43 |
-
"test_mar_100": 0.
|
| 44 |
-
"test_mar_100_Coverall": 0.
|
| 45 |
-
"test_mar_100_Face_Shield": 0.
|
| 46 |
-
"test_mar_100_Gloves": 0.
|
| 47 |
-
"test_mar_100_Goggles": 0.
|
| 48 |
-
"test_mar_100_Mask": 0.
|
| 49 |
-
"test_mar_large": 0.
|
| 50 |
-
"test_mar_medium": 0.
|
| 51 |
-
"test_mar_small": 0.
|
| 52 |
-
"test_runtime": 3.
|
| 53 |
-
"test_samples_per_second":
|
| 54 |
-
"test_steps_per_second":
|
| 55 |
"total_flos": 2.386038004919996e+19,
|
| 56 |
"train_loss": 0.0,
|
| 57 |
-
"train_runtime": 3.
|
| 58 |
-
"train_samples_per_second":
|
| 59 |
-
"train_steps_per_second":
|
| 60 |
}
|
|
|
|
| 26 |
"eval_runtime": 6.5804,
|
| 27 |
"eval_samples_per_second": 22.795,
|
| 28 |
"eval_steps_per_second": 2.887,
|
| 29 |
+
"test_loss": 1.007723093032837,
|
| 30 |
+
"test_map": 0.4282,
|
| 31 |
+
"test_map_50": 0.8092,
|
| 32 |
+
"test_map_75": 0.3479,
|
| 33 |
+
"test_map_Coverall": 0.6154,
|
| 34 |
+
"test_map_Face_Shield": 0.5313,
|
| 35 |
+
"test_map_Gloves": 0.3247,
|
| 36 |
+
"test_map_Goggles": 0.247,
|
| 37 |
+
"test_map_Mask": 0.4228,
|
| 38 |
+
"test_map_large": 0.6798,
|
| 39 |
+
"test_map_medium": 0.2881,
|
| 40 |
+
"test_map_small": 0.4374,
|
| 41 |
+
"test_mar_1": 0.3426,
|
| 42 |
+
"test_mar_10": 0.5385,
|
| 43 |
+
"test_mar_100": 0.5519,
|
| 44 |
+
"test_mar_100_Coverall": 0.7067,
|
| 45 |
+
"test_mar_100_Face_Shield": 0.6647,
|
| 46 |
+
"test_mar_100_Gloves": 0.4426,
|
| 47 |
+
"test_mar_100_Goggles": 0.4281,
|
| 48 |
+
"test_mar_100_Mask": 0.5173,
|
| 49 |
+
"test_mar_large": 0.7432,
|
| 50 |
+
"test_mar_medium": 0.4023,
|
| 51 |
+
"test_mar_small": 0.4868,
|
| 52 |
+
"test_runtime": 3.545,
|
| 53 |
+
"test_samples_per_second": 8.18,
|
| 54 |
+
"test_steps_per_second": 8.18,
|
| 55 |
"total_flos": 2.386038004919996e+19,
|
| 56 |
"train_loss": 0.0,
|
| 57 |
+
"train_runtime": 3.3486,
|
| 58 |
+
"train_samples_per_second": 25383.788,
|
| 59 |
+
"train_steps_per_second": 3195.371
|
| 60 |
}
|
test_results.json
CHANGED
|
@@ -1,29 +1,29 @@
|
|
| 1 |
{
|
| 2 |
"epoch": 100.0,
|
| 3 |
-
"test_loss":
|
| 4 |
-
"test_map": 0.
|
| 5 |
-
"test_map_50": 0.
|
| 6 |
-
"test_map_75": 0.
|
| 7 |
-
"test_map_Coverall": 0.
|
| 8 |
-
"test_map_Face_Shield": 0.
|
| 9 |
-
"test_map_Gloves": 0.
|
| 10 |
-
"test_map_Goggles": 0.
|
| 11 |
-
"test_map_Mask": 0.
|
| 12 |
-
"test_map_large": 0.
|
| 13 |
-
"test_map_medium": 0.
|
| 14 |
-
"test_map_small": 0.
|
| 15 |
-
"test_mar_1": 0.
|
| 16 |
-
"test_mar_10": 0.
|
| 17 |
-
"test_mar_100": 0.
|
| 18 |
-
"test_mar_100_Coverall": 0.
|
| 19 |
-
"test_mar_100_Face_Shield": 0.
|
| 20 |
-
"test_mar_100_Gloves": 0.
|
| 21 |
-
"test_mar_100_Goggles": 0.
|
| 22 |
-
"test_mar_100_Mask": 0.
|
| 23 |
-
"test_mar_large": 0.
|
| 24 |
-
"test_mar_medium": 0.
|
| 25 |
-
"test_mar_small": 0.
|
| 26 |
-
"test_runtime": 3.
|
| 27 |
-
"test_samples_per_second":
|
| 28 |
-
"test_steps_per_second":
|
| 29 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"epoch": 100.0,
|
| 3 |
+
"test_loss": 1.007723093032837,
|
| 4 |
+
"test_map": 0.4282,
|
| 5 |
+
"test_map_50": 0.8092,
|
| 6 |
+
"test_map_75": 0.3479,
|
| 7 |
+
"test_map_Coverall": 0.6154,
|
| 8 |
+
"test_map_Face_Shield": 0.5313,
|
| 9 |
+
"test_map_Gloves": 0.3247,
|
| 10 |
+
"test_map_Goggles": 0.247,
|
| 11 |
+
"test_map_Mask": 0.4228,
|
| 12 |
+
"test_map_large": 0.6798,
|
| 13 |
+
"test_map_medium": 0.2881,
|
| 14 |
+
"test_map_small": 0.4374,
|
| 15 |
+
"test_mar_1": 0.3426,
|
| 16 |
+
"test_mar_10": 0.5385,
|
| 17 |
+
"test_mar_100": 0.5519,
|
| 18 |
+
"test_mar_100_Coverall": 0.7067,
|
| 19 |
+
"test_mar_100_Face_Shield": 0.6647,
|
| 20 |
+
"test_mar_100_Gloves": 0.4426,
|
| 21 |
+
"test_mar_100_Goggles": 0.4281,
|
| 22 |
+
"test_mar_100_Mask": 0.5173,
|
| 23 |
+
"test_mar_large": 0.7432,
|
| 24 |
+
"test_mar_medium": 0.4023,
|
| 25 |
+
"test_mar_small": 0.4868,
|
| 26 |
+
"test_runtime": 3.545,
|
| 27 |
+
"test_samples_per_second": 8.18,
|
| 28 |
+
"test_steps_per_second": 8.18
|
| 29 |
}
|
train_results.json
CHANGED
|
@@ -2,7 +2,7 @@
|
|
| 2 |
"epoch": 100.0,
|
| 3 |
"total_flos": 2.386038004919996e+19,
|
| 4 |
"train_loss": 0.0,
|
| 5 |
-
"train_runtime": 3.
|
| 6 |
-
"train_samples_per_second":
|
| 7 |
-
"train_steps_per_second":
|
| 8 |
}
|
|
|
|
| 2 |
"epoch": 100.0,
|
| 3 |
"total_flos": 2.386038004919996e+19,
|
| 4 |
"train_loss": 0.0,
|
| 5 |
+
"train_runtime": 3.3486,
|
| 6 |
+
"train_samples_per_second": 25383.788,
|
| 7 |
+
"train_steps_per_second": 3195.371
|
| 8 |
}
|
trainer_state.json
CHANGED
|
@@ -3713,9 +3713,9 @@
|
|
| 3713 |
"step": 10700,
|
| 3714 |
"total_flos": 2.386038004919996e+19,
|
| 3715 |
"train_loss": 0.0,
|
| 3716 |
-
"train_runtime": 3.
|
| 3717 |
-
"train_samples_per_second":
|
| 3718 |
-
"train_steps_per_second":
|
| 3719 |
}
|
| 3720 |
],
|
| 3721 |
"logging_steps": 500,
|
|
|
|
| 3713 |
"step": 10700,
|
| 3714 |
"total_flos": 2.386038004919996e+19,
|
| 3715 |
"train_loss": 0.0,
|
| 3716 |
+
"train_runtime": 3.3486,
|
| 3717 |
+
"train_samples_per_second": 25383.788,
|
| 3718 |
+
"train_steps_per_second": 3195.371
|
| 3719 |
}
|
| 3720 |
],
|
| 3721 |
"logging_steps": 500,
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 4987
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0bdd18b2f3bd929647bf69b16367dcd71376063039b5a976dd6408d6dbf41ff3
|
| 3 |
size 4987
|