DioBot2000 commited on
Commit
ee5dc86
1 Parent(s): 1018cbd

End of training

Browse files
README.md ADDED
@@ -0,0 +1,77 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ base_model: bert-base-multilingual-cased
4
+ tags:
5
+ - generated_from_trainer
6
+ metrics:
7
+ - accuracy
8
+ - precision
9
+ - recall
10
+ - f1
11
+ model-index:
12
+ - name: BERT-multilingual-finetuned-CEFR_ner-3000news
13
+ results: []
14
+ ---
15
+
16
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
17
+ should probably proofread and complete it, then remove this comment. -->
18
+
19
+ # BERT-multilingual-finetuned-CEFR_ner-3000news
20
+
21
+ This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on an unknown dataset.
22
+ It achieves the following results on the evaluation set:
23
+ - Loss: 0.5691
24
+ - Accuracy: 0.4044
25
+ - Precision: 0.4949
26
+ - Recall: 0.6593
27
+ - F1: 0.4688
28
+
29
+ ## Model description
30
+
31
+ More information needed
32
+
33
+ ## Intended uses & limitations
34
+
35
+ More information needed
36
+
37
+ ## Training and evaluation data
38
+
39
+ More information needed
40
+
41
+ ## Training procedure
42
+
43
+ ### Training hyperparameters
44
+
45
+ The following hyperparameters were used during training:
46
+ - learning_rate: 2e-05
47
+ - train_batch_size: 16
48
+ - eval_batch_size: 16
49
+ - seed: 42
50
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
51
+ - lr_scheduler_type: linear
52
+ - num_epochs: 12
53
+
54
+ ### Training results
55
+
56
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
57
+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
58
+ | No log | 1.0 | 132 | 0.5657 | 0.3739 | 0.5044 | 0.5333 | 0.4050 |
59
+ | No log | 2.0 | 264 | 0.5076 | 0.3859 | 0.5011 | 0.5712 | 0.4225 |
60
+ | No log | 3.0 | 396 | 0.4845 | 0.3925 | 0.4690 | 0.6167 | 0.4351 |
61
+ | 0.4009 | 4.0 | 528 | 0.4981 | 0.3985 | 0.4956 | 0.6180 | 0.4514 |
62
+ | 0.4009 | 5.0 | 660 | 0.5136 | 0.3976 | 0.4913 | 0.6348 | 0.4570 |
63
+ | 0.4009 | 6.0 | 792 | 0.5092 | 0.4019 | 0.5004 | 0.6434 | 0.4655 |
64
+ | 0.4009 | 7.0 | 924 | 0.5235 | 0.4012 | 0.4837 | 0.6434 | 0.4555 |
65
+ | 0.1848 | 8.0 | 1056 | 0.5327 | 0.4033 | 0.4948 | 0.6519 | 0.4662 |
66
+ | 0.1848 | 9.0 | 1188 | 0.5640 | 0.4033 | 0.4920 | 0.6536 | 0.4638 |
67
+ | 0.1848 | 10.0 | 1320 | 0.5717 | 0.4031 | 0.4962 | 0.6547 | 0.4677 |
68
+ | 0.1848 | 11.0 | 1452 | 0.5667 | 0.4043 | 0.4910 | 0.6609 | 0.4666 |
69
+ | 0.1096 | 12.0 | 1584 | 0.5691 | 0.4044 | 0.4949 | 0.6593 | 0.4688 |
70
+
71
+
72
+ ### Framework versions
73
+
74
+ - Transformers 4.41.1
75
+ - Pytorch 2.3.0+cu121
76
+ - Datasets 2.19.1
77
+ - Tokenizers 0.19.1
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:25d91ebe22d52af7478d1a0f869557c8f26da59a546a23ae1add180acc229ae4
3
  size 709096284
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cba710c24eb34ca5e5d4b383e07feaee0a9ef45f7f3f0701dec1f71380f0ec9a
3
  size 709096284
runs/May24_11-45-37_eeb5907f489e/events.out.tfevents.1716551318.eeb5907f489e.1073.1 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:8697ebb563eff1336c8c2a185791ea268cb739bbf06f69ee4ae16ee6a4ec69bd
3
- size 11188
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:141004c51dbfa7caf2d8cd7d1717ff21858751d384a56c4fda7bc438e55b809a
3
+ size 12014
runs/May24_11-45-37_eeb5907f489e/events.out.tfevents.1716552535.eeb5907f489e.1073.2 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:130ca3813723d36aa2a59d8486acadc3f246184a8f380f4ea13fa6ea5026ef91
3
+ size 560