Hugging Face's logo

Aleksandar
/
bert-srb-ner-setimes

Token Classification
Transformers
PyTorch
bert
Generated from Trainer
Inference Endpoints
Model card Files Community
Aleksandar commited on
Commit
4bf9632
•
1 Parent(s): 333e457

add model

Browse files
Files changed (3) hide show
  1. README.md +7 -7
  2. pytorch_model.bin +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -17,7 +17,7 @@ model_index:
17
  metric:
18
  name: Accuracy
19
  type: accuracy
20
- value: 0.9315549552591592
21
  ---
22
 
23
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -27,11 +27,11 @@ should probably proofread and complete it, then remove this comment. -->
27
 
28
  This model was trained from scratch on the None dataset.
29
  It achieves the following results on the evaluation set:
30
- - Loss: 0.2380
31
- - Precision: 0.6508
32
- - Recall: 0.6708
33
- - F1: 0.6607
34
- - Accuracy: 0.9316
35
 
36
  ## Model description
37
 
@@ -62,7 +62,7 @@ The following hyperparameters were used during training:
62
 
63
  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
64
  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
65
- | No log | 1.0 | 207 | 0.2380 | 0.6508 | 0.6708 | 0.6607 | 0.9316 |
66
 
67
 
68
  ### Framework versions
 
17
  metric:
18
  name: Accuracy
19
  type: accuracy
20
+ value: 0.9327367887894648
21
  ---
22
 
23
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
27
 
28
  This model was trained from scratch on the None dataset.
29
  It achieves the following results on the evaluation set:
30
+ - Loss: 0.2368
31
+ - Precision: 0.6608
32
+ - Recall: 0.6840
33
+ - F1: 0.6722
34
+ - Accuracy: 0.9327
35
 
36
  ## Model description
37
 
 
62
 
63
  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
64
  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
65
+ | No log | 1.0 | 207 | 0.2368 | 0.6608 | 0.6840 | 0.6722 | 0.9327 |
66
 
67
 
68
  ### Framework versions
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:3a4f5db86f1c352bd7ab85f1e6ac8317d799fe38d18ad1fcdb048dbb26a3c9f0
3
  size 430992881
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:85f9b9134aba64e688b0682e0aad0b0d68df1158ee4e8fb9c39991d503933eec
3
  size 430992881
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:8274966077f8a8317a6bb08cd806307ff3a08caae6a602feb21583baa49f4548
3
  size 2671
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:78294d2d48075cf27e2cb5fda1696f3e39e1515eec74d07bc0e1059b9598c845
3
  size 2671