Hugging Face's logo

ineoApp
/
model-2024-06-05

Token Classification
Transformers
PyTorch
TensorBoard
layoutlmv3
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
ineoApp commited on
Commit
d7ccb53
•
1 Parent(s): d3c1ba8

End of training

Browse files
Files changed (2) hide show
  1. README.md +15 -15
  2. runs/Jun04_22-42-22_1814d79fd708/events.out.tfevents.1717540945.1814d79fd708.15124.0 +2 -2
README.md CHANGED
@@ -19,11 +19,11 @@ should probably proofread and complete it, then remove this comment. -->
19
 
20
  This model is a fine-tuned version of [microsoft/layoutlmv3-large](https://huggingface.co/microsoft/layoutlmv3-large) on an unknown dataset.
21
  It achieves the following results on the evaluation set:
22
- - Loss: 0.8504
23
- - Precision: 0.6964
24
- - Recall: 0.6796
25
- - F1: 0.6879
26
- - Accuracy: 0.8359
27
 
28
  ## Model description
29
 
@@ -54,16 +54,16 @@ The following hyperparameters were used during training:
54
 
55
  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
56
  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
57
- | No log | 1.64 | 100 | 1.3300 | 0.4057 | 0.1315 | 0.1986 | 0.6875 |
58
- | No log | 3.28 | 200 | 0.8812 | 0.5862 | 0.5352 | 0.5595 | 0.8030 |
59
- | No log | 4.92 | 300 | 0.7719 | 0.6213 | 0.6167 | 0.6190 | 0.8170 |
60
- | No log | 6.56 | 400 | 0.7689 | 0.6732 | 0.6407 | 0.6565 | 0.8304 |
61
- | 0.9396 | 8.2 | 500 | 0.7708 | 0.6712 | 0.6426 | 0.6566 | 0.8249 |
62
- | 0.9396 | 9.84 | 600 | 0.7916 | 0.6805 | 0.6704 | 0.6754 | 0.8298 |
63
- | 0.9396 | 11.48 | 700 | 0.7731 | 0.6952 | 0.6926 | 0.6939 | 0.8377 |
64
- | 0.9396 | 13.11 | 800 | 0.8129 | 0.6923 | 0.6667 | 0.6792 | 0.8347 |
65
- | 0.9396 | 14.75 | 900 | 0.8464 | 0.6963 | 0.6667 | 0.6812 | 0.8328 |
66
- | 0.2643 | 16.39 | 1000 | 0.8504 | 0.6964 | 0.6796 | 0.6879 | 0.8359 |
67
 
68
 
69
  ### Framework versions
 
19
 
20
  This model is a fine-tuned version of [microsoft/layoutlmv3-large](https://huggingface.co/microsoft/layoutlmv3-large) on an unknown dataset.
21
  It achieves the following results on the evaluation set:
22
+ - Loss: 0.4986
23
+ - Precision: 0.7474
24
+ - Recall: 0.7807
25
+ - F1: 0.7637
26
+ - Accuracy: 0.8733
27
 
28
  ## Model description
29
 
 
54
 
55
  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
56
  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
57
+ | No log | 1.02 | 100 | 1.1715 | 0.4678 | 0.1928 | 0.2730 | 0.6988 |
58
+ | No log | 2.04 | 200 | 0.7350 | 0.7285 | 0.6337 | 0.6778 | 0.8296 |
59
+ | No log | 3.06 | 300 | 0.6022 | 0.7073 | 0.6843 | 0.6957 | 0.8428 |
60
+ | No log | 4.08 | 400 | 0.5440 | 0.7218 | 0.7096 | 0.7157 | 0.8498 |
61
+ | 0.9898 | 5.1 | 500 | 0.5059 | 0.7300 | 0.7458 | 0.7378 | 0.8610 |
62
+ | 0.9898 | 6.12 | 600 | 0.4998 | 0.7438 | 0.7554 | 0.7496 | 0.8696 |
63
+ | 0.9898 | 7.14 | 700 | 0.5104 | 0.7549 | 0.7458 | 0.7503 | 0.8663 |
64
+ | 0.9898 | 8.16 | 800 | 0.4817 | 0.7608 | 0.7627 | 0.7617 | 0.8758 |
65
+ | 0.9898 | 9.18 | 900 | 0.4845 | 0.76 | 0.7783 | 0.7690 | 0.8758 |
66
+ | 0.3448 | 10.2 | 1000 | 0.4986 | 0.7474 | 0.7807 | 0.7637 | 0.8733 |
67
 
68
 
69
  ### Framework versions
runs/Jun04_22-42-22_1814d79fd708/events.out.tfevents.1717540945.1814d79fd708.15124.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:259607dca41c9943493a4fbaf87cb441dadeb241c42883f358dca2d1a5b3e157
3
- size 16618
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ce6750f6a0f37f05bb15cd214cd83a4af853dac6b7738d54fdb608eb00e103c2
3
+ size 16972