Wintersmith
commited on
Commit
•
f4838f7
1
Parent(s):
9aa28a0
End of training
Browse files- README.md +8 -7
- tf_model.h5 +2 -2
README.md
CHANGED
@@ -15,11 +15,11 @@ probably proofread and complete it, then remove this comment. -->
|
|
15 |
|
16 |
This model is a fine-tuned version of [distilbert/distilbert-base-uncased-finetuned-sst-2-english](https://huggingface.co/distilbert/distilbert-base-uncased-finetuned-sst-2-english) on an unknown dataset.
|
17 |
It achieves the following results on the evaluation set:
|
18 |
-
- Train Loss: 0.
|
19 |
-
- Train Accuracy: 0.
|
20 |
-
- Validation Loss: 0.
|
21 |
-
- Validation Accuracy: 0.
|
22 |
-
- Epoch:
|
23 |
|
24 |
## Model description
|
25 |
|
@@ -38,14 +38,15 @@ More information needed
|
|
38 |
### Training hyperparameters
|
39 |
|
40 |
The following hyperparameters were used during training:
|
41 |
-
- 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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps':
|
42 |
- training_precision: float32
|
43 |
|
44 |
### Training results
|
45 |
|
46 |
| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
|
47 |
|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
|
48 |
-
| 0.
|
|
|
49 |
|
50 |
|
51 |
### Framework versions
|
|
|
15 |
|
16 |
This model is a fine-tuned version of [distilbert/distilbert-base-uncased-finetuned-sst-2-english](https://huggingface.co/distilbert/distilbert-base-uncased-finetuned-sst-2-english) on an unknown dataset.
|
17 |
It achieves the following results on the evaluation set:
|
18 |
+
- Train Loss: 0.0082
|
19 |
+
- Train Accuracy: 0.9974
|
20 |
+
- Validation Loss: 0.0191
|
21 |
+
- Validation Accuracy: 0.9941
|
22 |
+
- Epoch: 1
|
23 |
|
24 |
## Model description
|
25 |
|
|
|
38 |
### Training hyperparameters
|
39 |
|
40 |
The following hyperparameters were used during training:
|
41 |
+
- 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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 3630, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
|
42 |
- training_precision: float32
|
43 |
|
44 |
### Training results
|
45 |
|
46 |
| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
|
47 |
|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
|
48 |
+
| 0.0579 | 0.9809 | 0.0272 | 0.9920 | 0 |
|
49 |
+
| 0.0082 | 0.9974 | 0.0191 | 0.9941 | 1 |
|
50 |
|
51 |
|
52 |
### Framework versions
|
tf_model.h5
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:64be676b3ad0e43006b5078681ff0d153cdf9f93d9ac4a6ee64dbb0a6c0fe8c9
|
3 |
+
size 267955144
|