gustavokpc commited on
Commit
72cdbc4
·
1 Parent(s): 4cdb6f0

Training in progress epoch 0

Browse files
Files changed (2) hide show
  1. README.md +13 -14
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -15,17 +15,17 @@ probably proofread and complete it, then remove this comment. -->
15
 
16
  This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on an unknown dataset.
17
  It achieves the following results on the evaluation set:
18
- - Train Loss: 0.6835
19
- - Train Accuracy: 0.5807
20
- - Train F1 M: 0.6227
21
- - Train Precision M: 0.4066
22
- - Train Recall M: 1.5628
23
- - Validation Loss: 0.6756
24
- - Validation Accuracy: 0.5937
25
- - Validation F1 M: 0.6390
26
- - Validation Precision M: 0.4063
27
- - Validation Recall M: 1.7203
28
- - Epoch: 1
29
 
30
  ## Model description
31
 
@@ -44,15 +44,14 @@ More information needed
44
  ### Training hyperparameters
45
 
46
  The following hyperparameters were used during training:
47
- - optimizer: {'name': 'Adam', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 15160, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
48
  - training_precision: float32
49
 
50
  ### Training results
51
 
52
  | Train Loss | Train Accuracy | Train F1 M | Train Precision M | Train Recall M | Validation Loss | Validation Accuracy | Validation F1 M | Validation Precision M | Validation Recall M | Epoch |
53
  |:----------:|:--------------:|:----------:|:-----------------:|:--------------:|:---------------:|:-------------------:|:---------------:|:----------------------:|:-------------------:|:-----:|
54
- | 0.6885 | 0.5696 | 0.4983 | 0.3705 | 0.9997 | 0.6757 | 0.5937 | 0.6390 | 0.4063 | 1.7203 | 0 |
55
- | 0.6835 | 0.5807 | 0.6227 | 0.4066 | 1.5628 | 0.6756 | 0.5937 | 0.6390 | 0.4063 | 1.7203 | 1 |
56
 
57
 
58
  ### Framework versions
 
15
 
16
  This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on an unknown dataset.
17
  It achieves the following results on the evaluation set:
18
+ - Train Loss: 0.3898
19
+ - Train Accuracy: 0.8294
20
+ - Train F1 M: 0.3411
21
+ - Train Precision M: 0.2894
22
+ - Train Recall M: 0.4810
23
+ - Validation Loss: 0.2440
24
+ - Validation Accuracy: 0.8984
25
+ - Validation F1 M: 0.5087
26
+ - Validation Precision M: 0.3814
27
+ - Validation Recall M: 0.8079
28
+ - Epoch: 0
29
 
30
  ## Model description
31
 
 
44
  ### Training hyperparameters
45
 
46
  The following hyperparameters were used during training:
47
+ - optimizer: {'name': 'Adam', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 3790, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
48
  - training_precision: float32
49
 
50
  ### Training results
51
 
52
  | Train Loss | Train Accuracy | Train F1 M | Train Precision M | Train Recall M | Validation Loss | Validation Accuracy | Validation F1 M | Validation Precision M | Validation Recall M | Epoch |
53
  |:----------:|:--------------:|:----------:|:-----------------:|:--------------:|:---------------:|:-------------------:|:---------------:|:----------------------:|:-------------------:|:-----:|
54
+ | 0.3898 | 0.8294 | 0.3411 | 0.2894 | 0.4810 | 0.2440 | 0.8984 | 0.5087 | 0.3814 | 0.8079 | 0 |
 
55
 
56
 
57
  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:988b1c3611e3ebca3d69e89355a9d4ebef49eb3b2e29e4af32fc332104964c35
3
  size 1341127728
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:679bba5b1db460fe4b00af9532b667cd1cba4353d674ed524e5b2dfca42d3288
3
  size 1341127728