gor1 commited on
Commit
b93c35c
·
1 Parent(s): 13eba29

Training in progress epoch 0

Browse files
Files changed (3) hide show
  1. README.md +5 -15
  2. config.json +2 -2
  3. tf_model.h5 +1 -1
README.md CHANGED
@@ -14,10 +14,10 @@ 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: 0.5161
18
- - Validation Loss: 0.5053
19
  - Train Accuracy: 0.6692
20
- - Epoch: 10
21
 
22
  ## Model description
23
 
@@ -36,24 +36,14 @@ More information needed
36
  ### Training hyperparameters
37
 
38
  The following hyperparameters were used during training:
39
- - optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 40, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, '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
- | 0.6577 | 0.6166 | 0.6692 | 0 |
47
- | 0.6098 | 0.5816 | 0.6692 | 1 |
48
- | 0.5679 | 0.5477 | 0.6692 | 2 |
49
- | 0.5500 | 0.5217 | 0.6692 | 3 |
50
- | 0.5239 | 0.5053 | 0.6692 | 4 |
51
- | 0.5178 | 0.5053 | 0.6692 | 5 |
52
- | 0.5196 | 0.5053 | 0.6692 | 6 |
53
- | 0.5152 | 0.5053 | 0.6692 | 7 |
54
- | 0.5142 | 0.5053 | 0.6692 | 8 |
55
- | 0.5189 | 0.5053 | 0.6692 | 9 |
56
- | 0.5161 | 0.5053 | 0.6692 | 10 |
57
 
58
 
59
  ### 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: 0.6748
18
+ - Validation Loss: 0.6426
19
  - Train Accuracy: 0.6692
20
+ - Epoch: 0
21
 
22
  ## Model description
23
 
 
36
  ### Training hyperparameters
37
 
38
  The following hyperparameters were used during training:
39
+ - optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 80, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, '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
+ | 0.6748 | 0.6426 | 0.6692 | 0 |
 
 
 
 
 
 
 
 
 
 
47
 
48
 
49
  ### Framework versions
config.json CHANGED
@@ -10,12 +10,12 @@
10
  "hidden_dim": 3072,
11
  "id2label": {
12
  "0": "CRITICISM",
13
- "1": "NOT"
14
  },
15
  "initializer_range": 0.02,
16
  "label2id": {
17
  "CRITICISM": 0,
18
- "NOT": 1
19
  },
20
  "max_position_embeddings": 512,
21
  "model_type": "distilbert",
 
10
  "hidden_dim": 3072,
11
  "id2label": {
12
  "0": "CRITICISM",
13
+ "1": "OTHER"
14
  },
15
  "initializer_range": 0.02,
16
  "label2id": {
17
  "CRITICISM": 0,
18
+ "OTHER": 1
19
  },
20
  "max_position_embeddings": 512,
21
  "model_type": "distilbert",
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:8e76516a6e5ad684b88b038fb448c5120d6d80612c39a2fa62a681e5ff49659e
3
  size 267951808
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f5ad5a276341eb21c409db041dd9de4f652d0b3fe5a476598e3963f533c0b489
3
  size 267951808