Hugging Face's logo

marcelovidigal
/
distilbert-base-multilingual-cased-2-contract-sections-classification-v2

Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
Model card Files
xet
Community
marcelovidigal commited on
Commit
8d3344a
·
verified ·
1 Parent(s): 711303f

Model save

Browse files
Files changed (2) hide show
  1. README.md +2 -64
  2. model.safetensors +1 -1
README.md CHANGED
@@ -1,11 +1,7 @@
1
  ---
2
  library_name: transformers
3
- license: apache-2.0
4
- base_model: distilbert-base-multilingual-cased
5
  tags:
6
  - generated_from_trainer
7
- metrics:
8
- - accuracy
9
  model-index:
10
  - name: distilbert-base-multilingual-cased-2-contract-sections-classification-v2
11
  results: []
@@ -14,13 +10,11 @@ model-index:
14
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
15
  should probably proofread and complete it, then remove this comment. -->
16
 
 
17
  [<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/mvgdr/classificacao-secoes-contratos-v2/runs/y6ofo8lp)
18
  # distilbert-base-multilingual-cased-2-contract-sections-classification-v2
19
 
20
- This model is a fine-tuned version of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) on an unknown dataset.
21
- It achieves the following results on the evaluation set:
22
- - Loss: 0.2409
23
- - Accuracy: 0.9633
24
 
25
  ## Model description
26
 
@@ -47,62 +41,6 @@ The following hyperparameters were used during training:
47
  - lr_scheduler_type: linear
48
  - num_epochs: 50
49
 
50
- ### Training results
51
-
52
- | Training Loss | Epoch | Step | Validation Loss | Accuracy |
53
- |:-------------:|:-----:|:-----:|:---------------:|:--------:|
54
- | 2.0201 | 1.0 | 1000 | 1.9036 | 0.5365 |
55
- | 1.0178 | 2.0 | 2000 | 0.9436 | 0.8688 |
56
- | 0.4974 | 3.0 | 3000 | 0.4813 | 0.918 |
57
- | 0.276 | 4.0 | 4000 | 0.3010 | 0.9333 |
58
- | 0.1649 | 5.0 | 5000 | 0.2437 | 0.9357 |
59
- | 0.1052 | 6.0 | 6000 | 0.1949 | 0.954 |
60
- | 0.0852 | 7.0 | 7000 | 0.1735 | 0.9577 |
61
- | 0.0688 | 8.0 | 8000 | 0.1906 | 0.9547 |
62
- | 0.0523 | 9.0 | 9000 | 0.1724 | 0.9583 |
63
- | 0.0462 | 10.0 | 10000 | 0.1781 | 0.9583 |
64
- | 0.0478 | 11.0 | 11000 | 0.1605 | 0.9637 |
65
- | 0.033 | 12.0 | 12000 | 0.1676 | 0.9633 |
66
- | 0.0382 | 13.0 | 13000 | 0.1700 | 0.963 |
67
- | 0.0251 | 14.0 | 14000 | 0.1717 | 0.9647 |
68
- | 0.0257 | 15.0 | 15000 | 0.1765 | 0.9657 |
69
- | 0.0217 | 16.0 | 16000 | 0.1755 | 0.9645 |
70
- | 0.0196 | 17.0 | 17000 | 0.1853 | 0.9637 |
71
- | 0.0216 | 18.0 | 18000 | 0.1831 | 0.9667 |
72
- | 0.0191 | 19.0 | 19000 | 0.1983 | 0.9615 |
73
- | 0.0182 | 20.0 | 20000 | 0.1955 | 0.9613 |
74
- | 0.0182 | 21.0 | 21000 | 0.1930 | 0.9617 |
75
- | 0.0116 | 22.0 | 22000 | 0.1959 | 0.965 |
76
- | 0.0096 | 23.0 | 23000 | 0.2034 | 0.9595 |
77
- | 0.0145 | 24.0 | 24000 | 0.2157 | 0.9623 |
78
- | 0.0155 | 25.0 | 25000 | 0.2049 | 0.9627 |
79
- | 0.0101 | 26.0 | 26000 | 0.2116 | 0.9645 |
80
- | 0.0105 | 27.0 | 27000 | 0.2173 | 0.9623 |
81
- | 0.0081 | 28.0 | 28000 | 0.2125 | 0.9625 |
82
- | 0.008 | 29.0 | 29000 | 0.2177 | 0.9613 |
83
- | 0.0095 | 30.0 | 30000 | 0.2177 | 0.9617 |
84
- | 0.0102 | 31.0 | 31000 | 0.2240 | 0.9617 |
85
- | 0.0079 | 32.0 | 32000 | 0.2124 | 0.963 |
86
- | 0.0124 | 33.0 | 33000 | 0.2249 | 0.9627 |
87
- | 0.0084 | 34.0 | 34000 | 0.2270 | 0.9613 |
88
- | 0.0104 | 35.0 | 35000 | 0.2266 | 0.9613 |
89
- | 0.0035 | 36.0 | 36000 | 0.2426 | 0.9607 |
90
- | 0.0056 | 37.0 | 37000 | 0.2292 | 0.961 |
91
- | 0.0066 | 38.0 | 38000 | 0.2379 | 0.962 |
92
- | 0.0038 | 39.0 | 39000 | 0.2416 | 0.9605 |
93
- | 0.0045 | 40.0 | 40000 | 0.2430 | 0.961 |
94
- | 0.0032 | 41.0 | 41000 | 0.2394 | 0.9615 |
95
- | 0.0031 | 42.0 | 42000 | 0.2412 | 0.9615 |
96
- | 0.0041 | 43.0 | 43000 | 0.2447 | 0.9613 |
97
- | 0.0021 | 44.0 | 44000 | 0.2423 | 0.963 |
98
- | 0.0061 | 45.0 | 45000 | 0.2433 | 0.9633 |
99
- | 0.0046 | 46.0 | 46000 | 0.2414 | 0.9633 |
100
- | 0.0046 | 47.0 | 47000 | 0.2442 | 0.963 |
101
- | 0.0051 | 48.0 | 48000 | 0.2418 | 0.964 |
102
- | 0.0036 | 49.0 | 49000 | 0.2408 | 0.9633 |
103
- | 0.002 | 50.0 | 50000 | 0.2409 | 0.9633 |
104
-
105
-
106
  ### Framework versions
107
 
108
  - Transformers 4.47.1
 
1
  ---
2
  library_name: transformers
 
 
3
  tags:
4
  - generated_from_trainer
 
 
5
  model-index:
6
  - name: distilbert-base-multilingual-cased-2-contract-sections-classification-v2
7
  results: []
 
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/mvgdr/classificacao-secoes-contratos-v2/runs/y6ofo8lp)
14
  [<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/mvgdr/classificacao-secoes-contratos-v2/runs/y6ofo8lp)
15
  # distilbert-base-multilingual-cased-2-contract-sections-classification-v2
16
 
17
+ This model was trained from scratch on an unknown dataset.
 
 
 
18
 
19
  ## Model description
20
 
 
41
  - lr_scheduler_type: linear
42
  - num_epochs: 50
43
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
44
  ### Framework versions
45
 
46
  - Transformers 4.47.1
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:c378a053194d2a3d7dc77a3a58ecc6662b53f955e72fa9d921cf7a955e73d0ca
3
  size 541351212
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6dffc377c9c8f46255c5bc1b170523e5540cc31ebc4770ba2f59b2d34e883925
3
  size 541351212