Hugging Face's logo

filippo571
/
pull_request_comments_model

Text Classification
Transformers
TensorFlow
English
distilbert
generated_from_keras_callback
Model card Files
xet
Community
1
filippo571 commited on
Commit
4a905ed
·
1 Parent(s): 0761aca

End of fine-tuning DistilBERT

Browse files
Files changed (2) hide show
  1. README.md +21 -17
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -14,10 +14,11 @@ probably proofread and complete it, then remove this comment. -->
14
 
15
  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
16
  It achieves the following results on the evaluation set:
17
- - Train Loss: 0.4068
18
- - Validation Loss: 0.5871
19
- - Train Accuracy: 0.8205
20
- - Epoch: 9
 
21
 
22
  ## Model description
23
 
@@ -36,23 +37,26 @@ More information needed
36
  ### Training hyperparameters
37
 
38
  The following hyperparameters were used during training:
39
- - optimizer: {'name': 'Adam', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 140, '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}
40
  - training_precision: float32
41
 
42
  ### Training results
43
 
44
- | Train Loss | Validation Loss | Train Accuracy | Epoch |
45
- |:----------:|:---------------:|:--------------:|:-----:|
46
- | 1.2952 | 1.1288 | 0.4957 | 0 |
47
- | 1.1276 | 0.9616 | 0.6581 | 1 |
48
- | 0.9647 | 0.8319 | 0.6838 | 2 |
49
- | 0.8187 | 0.7676 | 0.7265 | 3 |
50
- | 0.7088 | 0.7020 | 0.7436 | 4 |
51
- | 0.6026 | 0.6590 | 0.7863 | 5 |
52
- | 0.5296 | 0.6246 | 0.7949 | 6 |
53
- | 0.4712 | 0.6000 | 0.8120 | 7 |
54
- | 0.4359 | 0.5900 | 0.8291 | 8 |
55
- | 0.4068 | 0.5871 | 0.8205 | 9 |
 
 
 
56
 
57
 
58
  ### Framework versions
 
14
 
15
  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
16
  It achieves the following results on the evaluation set:
17
+ - Train Loss: 0.0791
18
+ - Train Accuracy: 0.9955
19
+ - Validation Loss: 0.5019
20
+ - Validation Accuracy: 0.8291
21
+ - Epoch: 12
22
 
23
  ## Model description
24
 
 
37
  ### Training hyperparameters
38
 
39
  The following hyperparameters were used during training:
40
+ - optimizer: {'name': 'Adam', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 280, '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}
41
  - training_precision: float32
42
 
43
  ### Training results
44
 
45
+ | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
46
+ |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
47
+ | 1.3102 | 0.4308 | 1.1851 | 0.4701 | 0 |
48
+ | 1.1436 | 0.4978 | 0.9891 | 0.6068 | 1 |
49
+ | 0.9590 | 0.6183 | 0.8287 | 0.6838 | 2 |
50
+ | 0.7801 | 0.6942 | 0.6916 | 0.7692 | 3 |
51
+ | 0.6074 | 0.7946 | 0.6212 | 0.8120 | 4 |
52
+ | 0.4755 | 0.8817 | 0.5471 | 0.8205 | 5 |
53
+ | 0.3503 | 0.9241 | 0.5244 | 0.8376 | 6 |
54
+ | 0.2594 | 0.9665 | 0.5171 | 0.8120 | 7 |
55
+ | 0.1711 | 0.9844 | 0.4832 | 0.8291 | 8 |
56
+ | 0.1474 | 0.9911 | 0.5000 | 0.8205 | 9 |
57
+ | 0.1082 | 0.9955 | 0.4875 | 0.8291 | 10 |
58
+ | 0.0981 | 0.9933 | 0.4928 | 0.8291 | 11 |
59
+ | 0.0791 | 0.9955 | 0.5019 | 0.8291 | 12 |
60
 
61
 
62
  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:b961b46db25856d7cfd700c3cb5f679a1103bbaa0e7298fc69bee1e9eedc1e00
3
  size 267957952
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6d53d4df80b716f7dcf82769d7a844488acb9f882e7ab2cf216820de297f5d35
3
  size 267957952