Hugging Face's logo

jq
/
unet-resnet34-malaria-trophozoites-wbc

Transformers
Safetensors
Generated from Trainer
Model card Files Community
jq commited on
Commit
4ba136a
·
verified ·
1 Parent(s): b28f23d

unet-resnet34-malaria-trophozoites-wbc

Browse files
Files changed (3) hide show
  1. README.md +54 -34
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -14,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
14
 
15
  This model was trained from scratch on the None dataset.
16
  It achieves the following results on the evaluation set:
17
- - Loss: 0.0312
18
 
19
  ## Model description
20
 
@@ -39,42 +39,62 @@ The following hyperparameters were used during training:
39
  - seed: 42
40
  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
41
  - lr_scheduler_type: linear
42
- - num_epochs: 30
43
 
44
  ### Training results
45
 
46
- | Training Loss | Epoch | Step | Validation Loss |
47
- |:-------------:|:-----:|:----:|:---------------:|
48
- | No log | 1.0 | 211 | 0.0505 |
49
- | No log | 2.0 | 422 | 0.0419 |
50
- | 0.1784 | 3.0 | 633 | 0.0413 |
51
- | 0.1784 | 4.0 | 844 | 0.0418 |
52
- | 0.0386 | 5.0 | 1055 | 0.0386 |
53
- | 0.0386 | 6.0 | 1266 | 0.0377 |
54
- | 0.0386 | 7.0 | 1477 | 0.0359 |
55
- | 0.0353 | 8.0 | 1688 | 0.0365 |
56
- | 0.0353 | 9.0 | 1899 | 0.0361 |
57
- | 0.0348 | 10.0 | 2110 | 0.0353 |
58
- | 0.0348 | 11.0 | 2321 | 0.0362 |
59
- | 0.0334 | 12.0 | 2532 | 0.0349 |
60
- | 0.0334 | 13.0 | 2743 | 0.0349 |
61
- | 0.0334 | 14.0 | 2954 | 0.0342 |
62
- | 0.0327 | 15.0 | 3165 | 0.0338 |
63
- | 0.0327 | 16.0 | 3376 | 0.0338 |
64
- | 0.0324 | 17.0 | 3587 | 0.0331 |
65
- | 0.0324 | 18.0 | 3798 | 0.0324 |
66
- | 0.0315 | 19.0 | 4009 | 0.0338 |
67
- | 0.0315 | 20.0 | 4220 | 0.0334 |
68
- | 0.0315 | 21.0 | 4431 | 0.0322 |
69
- | 0.0311 | 22.0 | 4642 | 0.0326 |
70
- | 0.0311 | 23.0 | 4853 | 0.0320 |
71
- | 0.031 | 24.0 | 5064 | 0.0316 |
72
- | 0.031 | 25.0 | 5275 | 0.0324 |
73
- | 0.031 | 26.0 | 5486 | 0.0318 |
74
- | 0.0299 | 27.0 | 5697 | 0.0318 |
75
- | 0.0299 | 28.0 | 5908 | 0.0322 |
76
- | 0.0299 | 29.0 | 6119 | 0.0315 |
77
- | 0.0299 | 30.0 | 6330 | 0.0312 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
78
 
79
 
80
  ### Framework versions
 
14
 
15
  This model was trained from scratch on the None dataset.
16
  It achieves the following results on the evaluation set:
17
+ - Loss: 0.1531
18
 
19
  ## Model description
20
 
 
39
  - seed: 42
40
  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
41
  - lr_scheduler_type: linear
42
+ - num_epochs: 50
43
 
44
  ### Training results
45
 
46
+ | Training Loss | Epoch | Step | Validation Loss |
47
+ |:-------------:|:-----:|:-----:|:---------------:|
48
+ | No log | 1.0 | 242 | 0.2605 |
49
+ | No log | 2.0 | 484 | 0.2295 |
50
+ | 0.6582 | 3.0 | 726 | 0.1956 |
51
+ | 0.6582 | 4.0 | 968 | 0.2041 |
52
+ | 0.1668 | 5.0 | 1210 | 0.1908 |
53
+ | 0.1668 | 6.0 | 1452 | 0.1820 |
54
+ | 0.1603 | 7.0 | 1694 | 0.1835 |
55
+ | 0.1603 | 8.0 | 1936 | 0.1800 |
56
+ | 0.1545 | 9.0 | 2178 | 0.1878 |
57
+ | 0.1545 | 10.0 | 2420 | 0.1753 |
58
+ | 0.151 | 11.0 | 2662 | 0.1952 |
59
+ | 0.151 | 12.0 | 2904 | 0.1860 |
60
+ | 0.1454 | 13.0 | 3146 | 0.1827 |
61
+ | 0.1454 | 14.0 | 3388 | 0.1729 |
62
+ | 0.1441 | 15.0 | 3630 | 0.1673 |
63
+ | 0.1441 | 16.0 | 3872 | 0.1707 |
64
+ | 0.1425 | 17.0 | 4114 | 0.1654 |
65
+ | 0.1425 | 18.0 | 4356 | 0.1667 |
66
+ | 0.1405 | 19.0 | 4598 | 0.1673 |
67
+ | 0.1405 | 20.0 | 4840 | 0.1699 |
68
+ | 0.1381 | 21.0 | 5082 | 0.1641 |
69
+ | 0.1381 | 22.0 | 5324 | 0.1654 |
70
+ | 0.141 | 23.0 | 5566 | 0.1670 |
71
+ | 0.141 | 24.0 | 5808 | 0.1658 |
72
+ | 0.136 | 25.0 | 6050 | 0.1678 |
73
+ | 0.136 | 26.0 | 6292 | 0.1623 |
74
+ | 0.136 | 27.0 | 6534 | 0.1640 |
75
+ | 0.136 | 28.0 | 6776 | 0.1618 |
76
+ | 0.1326 | 29.0 | 7018 | 0.1594 |
77
+ | 0.1326 | 30.0 | 7260 | 0.1611 |
78
+ | 0.1337 | 31.0 | 7502 | 0.1623 |
79
+ | 0.1337 | 32.0 | 7744 | 0.1599 |
80
+ | 0.1337 | 33.0 | 7986 | 0.1588 |
81
+ | 0.1301 | 34.0 | 8228 | 0.1583 |
82
+ | 0.1301 | 35.0 | 8470 | 0.1585 |
83
+ | 0.1301 | 36.0 | 8712 | 0.1569 |
84
+ | 0.1301 | 37.0 | 8954 | 0.1573 |
85
+ | 0.1298 | 38.0 | 9196 | 0.1562 |
86
+ | 0.1298 | 39.0 | 9438 | 0.1581 |
87
+ | 0.1309 | 40.0 | 9680 | 0.1568 |
88
+ | 0.1309 | 41.0 | 9922 | 0.1558 |
89
+ | 0.1274 | 42.0 | 10164 | 0.1552 |
90
+ | 0.1274 | 43.0 | 10406 | 0.1553 |
91
+ | 0.127 | 44.0 | 10648 | 0.1567 |
92
+ | 0.127 | 45.0 | 10890 | 0.1542 |
93
+ | 0.1278 | 46.0 | 11132 | 0.1545 |
94
+ | 0.1278 | 47.0 | 11374 | 0.1549 |
95
+ | 0.1275 | 48.0 | 11616 | 0.1535 |
96
+ | 0.1275 | 49.0 | 11858 | 0.1541 |
97
+ | 0.126 | 50.0 | 12100 | 0.1531 |
98
 
99
 
100
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:83da6fca5444ce5f5eb46184fd1cd1a71229cf48c0d1192993e1a223f9520124
3
  size 97849976
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:04f2c6498aaac171b26ba5974ce6992049e8b966f6ba8c24d8922901cd341bc7
3
  size 97849976
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:b50905a14957d9411892d20c28ddaffb7a0262d2b919ac586f1fa19e70ea7fc8
3
  size 5368
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:60f651db2b5180df8e81353d455cddfd4a2c80aef2981dc92647a5f9cae6ec8d
3
  size 5368