End of training
Browse files
README.md
CHANGED
@@ -3,6 +3,8 @@ library_name: transformers
|
|
3 |
license: other
|
4 |
base_model: facebook/mask2former-swin-base-IN21k-ade-semantic
|
5 |
tags:
|
|
|
|
|
6 |
- generated_from_trainer
|
7 |
model-index:
|
8 |
- name: mask2former-finetuned-ER-Mito-LD4
|
@@ -14,10 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
|
|
14 |
|
15 |
# mask2former-finetuned-ER-Mito-LD4
|
16 |
|
17 |
-
This model is a fine-tuned version of [facebook/mask2former-swin-base-IN21k-ade-semantic](https://huggingface.co/facebook/mask2former-swin-base-IN21k-ade-semantic) on
|
18 |
It achieves the following results on the evaluation set:
|
19 |
-
-
|
20 |
-
- Loss: 33.8444
|
21 |
|
22 |
## Model description
|
23 |
|
|
|
3 |
license: other
|
4 |
base_model: facebook/mask2former-swin-base-IN21k-ade-semantic
|
5 |
tags:
|
6 |
+
- image-segmentation
|
7 |
+
- vision
|
8 |
- generated_from_trainer
|
9 |
model-index:
|
10 |
- name: mask2former-finetuned-ER-Mito-LD4
|
|
|
16 |
|
17 |
# mask2former-finetuned-ER-Mito-LD4
|
18 |
|
19 |
+
This model is a fine-tuned version of [facebook/mask2former-swin-base-IN21k-ade-semantic](https://huggingface.co/facebook/mask2former-swin-base-IN21k-ade-semantic) on the Dnq2025/Mask2former_Pretrain dataset.
|
20 |
It achieves the following results on the evaluation set:
|
21 |
+
- Loss: 33.8611
|
|
|
22 |
|
23 |
## Model description
|
24 |
|
all_results.json
CHANGED
@@ -1,13 +1,13 @@
|
|
1 |
{
|
2 |
"epoch": 50.0,
|
3 |
"eval_dummy": 1.0,
|
4 |
-
"eval_loss": 33.
|
5 |
-
"eval_runtime":
|
6 |
-
"eval_samples_per_second":
|
7 |
-
"eval_steps_per_second": 0.
|
8 |
"total_flos": 7.315750209119846e+18,
|
9 |
-
"train_loss":
|
10 |
-
"train_runtime":
|
11 |
-
"train_samples_per_second":
|
12 |
-
"train_steps_per_second":
|
13 |
}
|
|
|
1 |
{
|
2 |
"epoch": 50.0,
|
3 |
"eval_dummy": 1.0,
|
4 |
+
"eval_loss": 33.86113357543945,
|
5 |
+
"eval_runtime": 29.6973,
|
6 |
+
"eval_samples_per_second": 1.616,
|
7 |
+
"eval_steps_per_second": 0.404,
|
8 |
"total_flos": 7.315750209119846e+18,
|
9 |
+
"train_loss": 0.0,
|
10 |
+
"train_runtime": 0.4708,
|
11 |
+
"train_samples_per_second": 54800.599,
|
12 |
+
"train_steps_per_second": 13700.15
|
13 |
}
|
eval_results.json
CHANGED
@@ -1,8 +1,7 @@
|
|
1 |
{
|
2 |
"epoch": 50.0,
|
3 |
-
"
|
4 |
-
"
|
5 |
-
"
|
6 |
-
"
|
7 |
-
"eval_steps_per_second": 0.704
|
8 |
}
|
|
|
1 |
{
|
2 |
"epoch": 50.0,
|
3 |
+
"eval_loss": 33.86113357543945,
|
4 |
+
"eval_runtime": 29.6973,
|
5 |
+
"eval_samples_per_second": 1.616,
|
6 |
+
"eval_steps_per_second": 0.404
|
|
|
7 |
}
|
runs/Apr02_15-14-55_cdr2589.int.cedar.computecanada.ca/events.out.tfevents.1743632244.cdr2589.int.cedar.computecanada.ca.23505.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:549d0f873009bcfaa8a243fb98747163dd96dc0cec9f01b60b2a0a7e96daf60a
|
3 |
+
size 359
|
train_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"epoch": 50.0,
|
3 |
"total_flos": 7.315750209119846e+18,
|
4 |
-
"train_loss":
|
5 |
-
"train_runtime":
|
6 |
-
"train_samples_per_second":
|
7 |
-
"train_steps_per_second":
|
8 |
}
|
|
|
1 |
{
|
2 |
"epoch": 50.0,
|
3 |
"total_flos": 7.315750209119846e+18,
|
4 |
+
"train_loss": 0.0,
|
5 |
+
"train_runtime": 0.4708,
|
6 |
+
"train_samples_per_second": 54800.599,
|
7 |
+
"train_steps_per_second": 13700.15
|
8 |
}
|
trainer_state.json
CHANGED
@@ -911,10 +911,10 @@
|
|
911 |
"epoch": 50.0,
|
912 |
"step": 6450,
|
913 |
"total_flos": 7.315750209119846e+18,
|
914 |
-
"train_loss":
|
915 |
-
"train_runtime":
|
916 |
-
"train_samples_per_second":
|
917 |
-
"train_steps_per_second":
|
918 |
}
|
919 |
],
|
920 |
"logging_steps": 100,
|
|
|
911 |
"epoch": 50.0,
|
912 |
"step": 6450,
|
913 |
"total_flos": 7.315750209119846e+18,
|
914 |
+
"train_loss": 0.0,
|
915 |
+
"train_runtime": 0.4708,
|
916 |
+
"train_samples_per_second": 54800.599,
|
917 |
+
"train_steps_per_second": 13700.15
|
918 |
}
|
919 |
],
|
920 |
"logging_steps": 100,
|