dtorber commited on
Commit
0a2ddef
·
verified ·
1 Parent(s): 89af226

Model save

Browse files
Files changed (2) hide show
  1. README.md +16 -16
  2. model.safetensors +1 -1
README.md CHANGED
@@ -18,15 +18,15 @@ should probably proofread and complete it, then remove this comment. -->
18
 
19
  This model is a fine-tuned version of [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-cased) on the None dataset.
20
  It achieves the following results on the evaluation set:
21
- - Loss: 0.7600
22
- - F1 Macro: 0.9004
23
- - F1: 0.9270
24
- - F1 Neg: 0.8737
25
- - Acc: 0.9075
26
- - Prec: 0.9252
27
- - Recall: 0.9289
28
- - Mcc: 0.8008
29
- - Millor Epoca: 3
30
 
31
  ## Model description
32
 
@@ -59,13 +59,13 @@ The following hyperparameters were used during training:
59
 
60
  | Training Loss | Epoch | Step | Validation Loss | F1 Macro | F1 | F1 Neg | Acc | Prec | Recall | Mcc | Millor Epoca |
61
  |:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:------:|:------:|:------:|:------:|:------:|:------------:|
62
- | 0.3296 | 1.0 | 3491 | 0.5448 | 0.8612 | 0.9088 | 0.8137 | 0.8775 | 0.8592 | 0.9644 | 0.7356 | 1 |
63
- | 0.1282 | 2.0 | 6982 | 0.7060 | 0.8791 | 0.9154 | 0.8429 | 0.89 | 0.8914 | 0.9407 | 0.7608 | 2 |
64
- | 0.0531 | 3.0 | 10473 | 0.7600 | 0.9004 | 0.9270 | 0.8737 | 0.9075 | 0.9252 | 0.9289 | 0.8008 | 3 |
65
- | 0.0285 | 4.0 | 13964 | 0.8815 | 0.8606 | 0.8916 | 0.8296 | 0.8675 | 0.9237 | 0.8617 | 0.7246 | 3 |
66
- | 0.0171 | 5.0 | 17455 | 1.2115 | 0.8589 | 0.8984 | 0.8194 | 0.87 | 0.8880 | 0.9091 | 0.7183 | 3 |
67
- | 0.0086 | 6.0 | 20946 | 1.3128 | 0.8686 | 0.9073 | 0.8298 | 0.88 | 0.8868 | 0.9289 | 0.7390 | 3 |
68
- | 0.0042 | 7.0 | 24437 | 1.3447 | 0.8734 | 0.9073 | 0.8396 | 0.8825 | 0.9055 | 0.9091 | 0.7469 | 3 |
69
 
70
 
71
  ### Framework versions
 
18
 
19
  This model is a fine-tuned version of [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-cased) on the None dataset.
20
  It achieves the following results on the evaluation set:
21
+ - Loss: 1.2458
22
+ - F1 Macro: 0.8817
23
+ - F1: 0.9130
24
+ - F1 Neg: 0.8503
25
+ - Acc: 0.89
26
+ - Prec: 0.9130
27
+ - Recall: 0.9130
28
+ - Mcc: 0.7634
29
+ - Millor Epoca: 6
30
 
31
  ## Model description
32
 
 
59
 
60
  | Training Loss | Epoch | Step | Validation Loss | F1 Macro | F1 | F1 Neg | Acc | Prec | Recall | Mcc | Millor Epoca |
61
  |:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:------:|:------:|:------:|:------:|:------:|:------------:|
62
+ | 0.2675 | 1.0 | 3801 | 0.5655 | 0.8736 | 0.9115 | 0.8357 | 0.885 | 0.8876 | 0.9368 | 0.7498 | 1 |
63
+ | 0.1016 | 2.0 | 7602 | 0.7133 | 0.8640 | 0.8926 | 0.8354 | 0.87 | 0.9351 | 0.8538 | 0.7337 | 1 |
64
+ | 0.041 | 3.0 | 11403 | 1.0065 | 0.8702 | 0.9101 | 0.8303 | 0.8825 | 0.8815 | 0.9407 | 0.7442 | 1 |
65
+ | 0.0211 | 4.0 | 15204 | 1.2972 | 0.8736 | 0.9115 | 0.8357 | 0.885 | 0.8876 | 0.9368 | 0.7498 | 1 |
66
+ | 0.0108 | 5.0 | 19005 | 1.3592 | 0.8677 | 0.9080 | 0.8273 | 0.88 | 0.8810 | 0.9368 | 0.7387 | 1 |
67
+ | 0.002 | 6.0 | 22806 | 1.2458 | 0.8817 | 0.9130 | 0.8503 | 0.89 | 0.9130 | 0.9130 | 0.7634 | 6 |
68
+ | 0.0 | 7.0 | 26607 | 1.3670 | 0.8766 | 0.9133 | 0.8399 | 0.8875 | 0.8910 | 0.9368 | 0.7554 | 6 |
69
 
70
 
71
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:5f2536d7adfbe015db1e7c929c4db97457995a5c1199068078efedd264ae1869
3
  size 433270768
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d7ac5f276d54297fe3ec9553f5e5fbf529cd5e17ac3b292e88d0b5dd794cb378
3
  size 433270768