Hugging Face's logo

ele-sage
/
mdeberta-v3-base-name-classifier-v2

Text Classification
Transformers
TensorBoard
Safetensors
French
English
deberta-v2
Generated from Trainer
name
person
company
Model card Files
xet
Metrics Community
ele-sage commited on
Commit
952a7ce
·
verified ·
1 Parent(s): c6e5ebb

ele-sage/mdeberta-v3-base-name-classifier-v2

Browse files
Files changed (5) hide show
  1. README.md +30 -16
  2. model.safetensors +1 -1
  3. runs/Dec07_22-37-29_elesage-pc/events.out.tfevents.1765165139.elesage-pc.285136.0 +3 -0
  4. runs/Dec07_22-52-34_elesage-pc/events.out.tfevents.1765166044.elesage-pc.293700.0 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -21,10 +21,10 @@ should probably proofread and complete it, then remove this comment. -->
21
 
22
  This model is a fine-tuned version of [microsoft/mdeberta-v3-base](https://huggingface.co/microsoft/mdeberta-v3-base) on an unknown dataset.
23
  It achieves the following results on the evaluation set:
24
- - Loss: 0.1317
25
  - Accuracy: 0.9946
26
  - Precision: 0.9989
27
- - Recall: 0.9914
28
  - F1: 0.9951
29
 
30
  ## Model description
@@ -52,25 +52,39 @@ The following hyperparameters were used during training:
52
  - lr_scheduler_type: cosine
53
  - lr_scheduler_warmup_ratio: 0.05
54
  - num_epochs: 1
55
- - label_smoothing_factor: 0.05
56
 
57
  ### Training results
58
 
59
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
60
  |:-------------:|:------:|:-----:|:---------------:|:--------:|:---------:|:------:|:------:|
61
- | 0.1375 | 0.0718 | 4000 | 0.1431 | 0.9909 | 0.9991 | 0.9847 | 0.9918 |
62
- | 0.1391 | 0.1436 | 8000 | 0.1356 | 0.9930 | 0.9973 | 0.9902 | 0.9937 |
63
- | 0.1344 | 0.2154 | 12000 | 0.1361 | 0.9934 | 0.9983 | 0.9899 | 0.9941 |
64
- | 0.1387 | 0.2872 | 16000 | 0.1333 | 0.9937 | 0.9984 | 0.9903 | 0.9943 |
65
- | 0.1353 | 0.3590 | 20000 | 0.1340 | 0.9940 | 0.9985 | 0.9907 | 0.9946 |
66
- | 0.1337 | 0.4308 | 24000 | 0.1332 | 0.9939 | 0.9982 | 0.9909 | 0.9946 |
67
- | 0.1332 | 0.5026 | 28000 | 0.1332 | 0.9940 | 0.9977 | 0.9916 | 0.9946 |
68
- | 0.1359 | 0.5744 | 32000 | 0.1319 | 0.9943 | 0.9992 | 0.9907 | 0.9949 |
69
- | 0.1314 | 0.6462 | 36000 | 0.1326 | 0.9943 | 0.9984 | 0.9914 | 0.9949 |
70
- | 0.132 | 0.7180 | 40000 | 0.1318 | 0.9945 | 0.9990 | 0.9911 | 0.9950 |
71
- | 0.1309 | 0.7898 | 44000 | 0.1319 | 0.9945 | 0.9989 | 0.9913 | 0.9951 |
72
- | 0.1319 | 0.8616 | 48000 | 0.1318 | 0.9945 | 0.9988 | 0.9914 | 0.9951 |
73
- | 0.1288 | 0.9334 | 52000 | 0.1317 | 0.9946 | 0.9989 | 0.9914 | 0.9951 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
74
 
75
 
76
  ### Framework versions
 
21
 
22
  This model is a fine-tuned version of [microsoft/mdeberta-v3-base](https://huggingface.co/microsoft/mdeberta-v3-base) on an unknown dataset.
23
  It achieves the following results on the evaluation set:
24
+ - Loss: 0.0732
25
  - Accuracy: 0.9946
26
  - Precision: 0.9989
27
+ - Recall: 0.9913
28
  - F1: 0.9951
29
 
30
  ## Model description
 
52
  - lr_scheduler_type: cosine
53
  - lr_scheduler_warmup_ratio: 0.05
54
  - num_epochs: 1
55
+ - label_smoothing_factor: 0.02
56
 
57
  ### Training results
58
 
59
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
60
  |:-------------:|:------:|:-----:|:---------------:|:--------:|:---------:|:------:|:------:|
61
+ | 0.0914 | 0.0359 | 2000 | 0.0889 | 0.9907 | 0.9952 | 0.9882 | 0.9917 |
62
+ | 0.0796 | 0.0718 | 4000 | 0.0864 | 0.9907 | 0.9991 | 0.9843 | 0.9916 |
63
+ | 0.0808 | 0.1077 | 6000 | 0.0809 | 0.9919 | 0.9944 | 0.9910 | 0.9927 |
64
+ | 0.0828 | 0.1436 | 8000 | 0.0774 | 0.9930 | 0.9976 | 0.9899 | 0.9937 |
65
+ | 0.0787 | 0.1795 | 10000 | 0.0771 | 0.9931 | 0.9989 | 0.9886 | 0.9938 |
66
+ | 0.0761 | 0.2154 | 12000 | 0.0774 | 0.9935 | 0.9984 | 0.9899 | 0.9942 |
67
+ | 0.0779 | 0.2513 | 14000 | 0.0771 | 0.9935 | 0.9991 | 0.9892 | 0.9941 |
68
+ | 0.0833 | 0.2872 | 16000 | 0.0751 | 0.9937 | 0.9985 | 0.9903 | 0.9944 |
69
+ | 0.0812 | 0.3231 | 18000 | 0.0764 | 0.9935 | 0.9967 | 0.9915 | 0.9941 |
70
+ | 0.0763 | 0.3590 | 20000 | 0.0753 | 0.9940 | 0.9990 | 0.9902 | 0.9946 |
71
+ | 0.0753 | 0.3949 | 22000 | 0.0759 | 0.9936 | 0.9968 | 0.9917 | 0.9942 |
72
+ | 0.0749 | 0.4308 | 24000 | 0.0750 | 0.9940 | 0.9980 | 0.9912 | 0.9946 |
73
+ | 0.0755 | 0.4667 | 26000 | 0.0746 | 0.9939 | 0.9974 | 0.9917 | 0.9945 |
74
+ | 0.0755 | 0.5026 | 28000 | 0.0756 | 0.9937 | 0.9967 | 0.9919 | 0.9943 |
75
+ | 0.0753 | 0.5385 | 30000 | 0.0745 | 0.9942 | 0.9979 | 0.9916 | 0.9948 |
76
+ | 0.0791 | 0.5744 | 32000 | 0.0735 | 0.9943 | 0.9991 | 0.9908 | 0.9949 |
77
+ | 0.0789 | 0.6103 | 34000 | 0.0743 | 0.9939 | 0.9972 | 0.9918 | 0.9945 |
78
+ | 0.073 | 0.6462 | 36000 | 0.0741 | 0.9943 | 0.9985 | 0.9913 | 0.9949 |
79
+ | 0.0714 | 0.6821 | 38000 | 0.0738 | 0.9944 | 0.9989 | 0.9911 | 0.9950 |
80
+ | 0.0738 | 0.7180 | 40000 | 0.0733 | 0.9945 | 0.9989 | 0.9912 | 0.9950 |
81
+ | 0.0796 | 0.7539 | 42000 | 0.0732 | 0.9945 | 0.9987 | 0.9915 | 0.9951 |
82
+ | 0.0726 | 0.7898 | 44000 | 0.0734 | 0.9945 | 0.9988 | 0.9914 | 0.9951 |
83
+ | 0.0778 | 0.8257 | 46000 | 0.0733 | 0.9945 | 0.9988 | 0.9913 | 0.9951 |
84
+ | 0.0734 | 0.8616 | 48000 | 0.0733 | 0.9945 | 0.9989 | 0.9914 | 0.9951 |
85
+ | 0.0735 | 0.8975 | 50000 | 0.0732 | 0.9945 | 0.9988 | 0.9914 | 0.9951 |
86
+ | 0.0696 | 0.9334 | 52000 | 0.0732 | 0.9945 | 0.9989 | 0.9913 | 0.9951 |
87
+ | 0.0754 | 0.9693 | 54000 | 0.0732 | 0.9946 | 0.9989 | 0.9913 | 0.9951 |
88
 
89
 
90
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:60aa9aa53a0e36b245c5593dce8d7310a3f52c28f31c6edd7c2c5eabf260bcb5
3
  size 1115268200
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2fb9a4b1e3ebf54cc80a6ce7b7f4fc67bfda81ad31a60c63670443ac2c8fe96c
3
  size 1115268200
runs/Dec07_22-37-29_elesage-pc/events.out.tfevents.1765165139.elesage-pc.285136.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:849df73a03fa35bc23273b3ee0d017383428418dabb2d859d2d9c3be8a6e6401
3
+ size 59842
runs/Dec07_22-52-34_elesage-pc/events.out.tfevents.1765166044.elesage-pc.293700.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b464652e95ce04360b479c4fdcbbc89c834542c6e71f05fa7b03e8310cb1b8d6
3
+ size 256793
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:61a02fb851b1134ce920c19e3f3a46c6f21e569e6068dc37c5228abe0d993582
3
  size 5841
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1937b4563433df8db307d4f3c09eee2971ef7c9c7980dff81f9d70c61066d17b
3
  size 5841