Hugging Face's logo

vikp
/
surya_det3

Transformers
Safetensors
efficientvit
Inference Endpoints
Model card Files Community
vikp commited on
Commit
d773079
•
1 Parent(s): f3eb3ba

Model save

Browse files
Files changed (2) hide show
  1. README.md +32 -6
  2. model.safetensors +1 -1
README.md CHANGED
@@ -1,4 +1,5 @@
1
  ---
 
2
  tags:
3
  - generated_from_trainer
4
  model-index:
@@ -9,12 +10,12 @@ model-index:
9
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
10
  should probably proofread and complete it, then remove this comment. -->
11
 
12
- [<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/vikp/line_detector/runs/cbhhi6vp)
13
  # line_detector_3
14
 
15
- This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
16
  It achieves the following results on the evaluation set:
17
- - Loss: 0.1275
18
 
19
  ## Model description
20
 
@@ -48,9 +49,34 @@ The following hyperparameters were used during training:
48
 
49
  ### Training results
50
 
51
- | Training Loss | Epoch | Step | Validation Loss |
52
- |:-------------:|:------:|:----:|:---------------:|
53
- | 0.1203 | 2.2989 | 1000 | 0.1275 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
54
 
55
 
56
  ### Framework versions
 
1
  ---
2
+ base_model: vikp/line_detector_3
3
  tags:
4
  - generated_from_trainer
5
  model-index:
 
10
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
11
  should probably proofread and complete it, then remove this comment. -->
12
 
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/vikp/line_detector/runs/5crpjf7u)
14
  # line_detector_3
15
 
16
+ This model is a fine-tuned version of [vikp/line_detector_3](https://huggingface.co/vikp/line_detector_3) on an unknown dataset.
17
  It achieves the following results on the evaluation set:
18
+ - Loss: 0.1230
19
 
20
  ## Model description
21
 
 
49
 
50
  ### Training results
51
 
52
+ | Training Loss | Epoch | Step | Validation Loss |
53
+ |:-------------:|:------:|:-----:|:---------------:|
54
+ | 0.1302 | 0.1527 | 1000 | 0.1327 |
55
+ | 0.1147 | 0.3054 | 2000 | 0.1314 |
56
+ | 0.1395 | 0.4581 | 3000 | 0.1318 |
57
+ | 0.1302 | 0.6108 | 4000 | 0.1312 |
58
+ | 0.1349 | 0.7635 | 5000 | 0.1315 |
59
+ | 0.1431 | 0.9162 | 6000 | 0.1305 |
60
+ | 0.1318 | 1.0689 | 7000 | 0.1305 |
61
+ | 0.118 | 1.2216 | 8000 | 0.1295 |
62
+ | 0.1116 | 1.3743 | 9000 | 0.1286 |
63
+ | 0.1513 | 1.5270 | 10000 | 0.1273 |
64
+ | 0.1158 | 1.6796 | 11000 | 0.1290 |
65
+ | 0.1408 | 1.8323 | 12000 | 0.1289 |
66
+ | 0.1227 | 1.9850 | 13000 | 0.1281 |
67
+ | 0.1347 | 2.1377 | 14000 | 0.1291 |
68
+ | 0.1066 | 2.2904 | 15000 | 0.1285 |
69
+ | 0.116 | 2.4431 | 16000 | 0.1275 |
70
+ | 0.1164 | 2.5958 | 17000 | 0.1253 |
71
+ | 0.1269 | 2.7485 | 18000 | 0.1259 |
72
+ | 0.1293 | 2.9012 | 19000 | 0.1256 |
73
+ | 0.1241 | 3.0539 | 20000 | 0.1245 |
74
+ | 0.1329 | 3.2066 | 21000 | 0.1263 |
75
+ | 0.1166 | 3.3593 | 22000 | 0.1266 |
76
+ | 0.1292 | 3.5120 | 23000 | 0.1230 |
77
+ | 0.1189 | 3.6647 | 24000 | 0.1274 |
78
+ | 0.1073 | 3.8174 | 25000 | 0.1251 |
79
+ | 0.1308 | 3.9701 | 26000 | 0.1230 |
80
 
81
 
82
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:b757ec065970d2d667ea3140e82ce61f1ee7dd9f9755f22e2c8f396e14b5dccd
3
  size 153827656
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5a2a74e413345541b7ca0db0cb1d41785649eb99fe6a1b5166aa8bd7c0a8881d
3
  size 153827656